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WHAT IS A WEBINAR? TOP 5 REASONS YOU CANNOT MISS THE ODOO WEBINAR

In the digital age, accessing knowledge, updating trends, and connecting with experts is no longer limited by geographical distance. Instead of attending physical seminars, individuals and enterprises increasingly have more options through online seminar programs (Webinars). So what is a Webinar , what benefits does this format bring, and why should you join the Odoo Webinar organized by Paracel this November? Let's find out in the article below! 1. What is a Webinar? Webinar (Web-based Seminar) is a seminar, conference, or training session organized online via the Internet. Instead of gathering at a specific location, speakers and attendees can connect from various places through online conferencing platforms. A Webinar typically focuses on a specific professional topic, featuring speakers, experts, or enterprise representatives. Content is delivered through video, presentation slides, screen sharing, and online interactive formats. Unlike merely watching a pre-recorded video, a Webinar usually allows attendees to interact directly with speakers via chat features, Q&A sessions, or polls. 1.1 Key features of a Webinar A Webinar program typically has the following characteristics: Online organization: Attendees only need a device with an Internet connection to access the program. In-depth content: Focuses on sharing knowledge, experience, or solutions around a specific topic. Direct interaction: Attendees can ask questions, exchange discussions, and receive answers from speakers. Broad accessibility: Not limited by geographical location or venue scale. Document sharing support: Slides, documents, or recordings can be provided depending on the organizer's policy. 1.2 Distinguishing Webinars from Online Meetings, Livestreams, and Workshops Although all take place in an online environment, Webinars, Online Meetings, Livestreams, and Workshops serve different purposes and have different organizational methods. - Webinar: An online seminar format focusing on sharing knowledge, professional information, or practical experience. Attendees can follow the speaker's presentation, ask questions, and interact via online tools. - Online Meeting: A meeting organized over the Internet, primarily serving work exchange, discussion, and coordination needs among members. This format usually involves participation and input from multiple sides. - Livestream: A format of broadcasting content directly to viewers via online platforms. Livestreaming is commonly used in media activities, product introductions, or community interaction, where viewers mainly receive content from the broadcaster. - Workshop: An in-depth seminar combining knowledge sharing and hands-on practice. Participants not only listen but also directly experience, discuss, or perform activities to solve a specific problem. Overall, while Online Meetings lean toward work exchange, Livestreams target public content delivery, and Workshops emphasize practical experience, Webinars stand out for sharing professional knowledge combined with direct interaction between speakers and attendees. 2. How Do Webinars Work? A Webinar program is typically organized according to a defined process, from registration to the end of the event. Depending on the scale and purpose, organizers can adjust the implementation to suit the target audience. Below is the common process for participating in a Webinar: Step 1: Registration Interested individuals access the program's registration page and fill in necessary information such as full name, email, phone number, or enterprise information. Step 2: Receive confirmation information After successful registration, attendees will receive a confirmation email along with details regarding the time, platform, and webinar access link. Step 3: Access the program When the event time arrives, attendees use the provided link to enter the online seminar room. Step 4: Follow and interact Attendees can follow the speaker's presentation, ask questions, and exchange ideas via the chat box or interactive tools integrated into the platform. Step 5: Receive post-program information Depending on the organizer's policy, attendees may receive additional materials, webinar recordings, or information about the solutions introduced during the program. Currently, some platforms commonly used to host webinars include Zoom, Microsoft Teams, Google Meet, or live streaming on various platforms. 3. Top 5 Outstanding Benefits of Webinars for Individuals and Enterprises More than just an online information-sharing format, webinars bring practical value to both attendees and organizers. Below are 5 outstanding benefits of this format. 3.1. Access professional knowledge from experts One of the greatest values of a webinar is the opportunity to access knowledge and experience from professionals in the field of interest. Through sharing sessions, attendees can update on new trends, learn working methods, and gain in-depth perspectives that are sometimes hard to find in regular documents. Particularly for topics related to technology and digital transformation, webinars help enterprises better understand solutions currently being applied in the market. 3.2. Save time and participation costs Instead of traveling to a venue, attendees can watch the webinar right at the office or anywhere with an Internet connection. This significantly saves travel time, commuting costs, and expenses associated with attending in-person events. For enterprises, webinars also enable multiple personnel to access a training program or professional sharing session without needing separate offline meetings. 3.3. Expand networking and interaction opportunities Webinars create an environment for people with shared interests to meet and exchange ideas, even when they are working in different locations. Through Q&A sessions and discussions, attendees can share experiences, gain new perspectives, and build relationships with experts or representatives from other enterprises. This is also an opportunity for the enterprise to expand its networking and find potential partners. 3.4. Interactive Q&A and Direct Problem Solving Unlike reading documents or watching recorded videos, webinars typically allow attendees to ask questions and receive immediate answers during the program. Questions related to knowledge, processes, or practical situations can be discussed directly with the speaker. This helps attendees gain a deeper understanding of the topic while providing an opportunity to clarify issues that they or their enterprise are facing. 3.5. Access to Solutions and Practical Application Experience Many webinars do not stop at providing theoretical knowledge but also introduce how solutions are applied in real-world working environments. Through illustrative scenarios, attendees can visualize how technology supports problem-solving, improves processes, and enhances operational efficiency. This is a useful foundation for the enterprise to assess needs, determine implementation directions, and select suitable solutions for its operations. 4. Top 5 Reasons You Cannot Miss the Odoo Webinar This November [WEBINAR PARACEL x ODOO] Customer Care Digital Transformation: Unifying Omni-Channel, Multi-Branch Data with Odoo In the context of enterprises increasingly expanding their scale and developing multiple interaction channels, managing customer data is becoming a pressing issue. Customers may contact via Zalo, Messenger, Website, or Hotline, but information is stored across different platforms. As the enterprise grows with more branches and departments, controlling interaction history, assigning personnel, and tracking request resolution progress becomes even more complex. To solve these challenges, Paracel is organizing the November Odoo Webinar with the theme “Customer Care Digital Transformation: Unifying Omni-Channel, Multi-Branch Data with Odoo” . Through the program, attendees will have the opportunity to learn: How to unify customer data from multiple contact channels such as Zalo, Messenger, Website, and Hotline. How to manage profiles and customer interaction history centrally on a single system. The process of receiving, assigning, and handling customer care requests using Odoo Ticket. The capability to connect customer care activities with business processes on Odoo. Illustrations of practical application scenarios in multi-channel, multi-branch customer management. Let's explore the top 5 reasons why you cannot miss the Webinar taking place on November 11th. 4.1. Discover omnichannel customer data consolidation solutions When customers can reach out through multiple different platforms, managing information on each individual channel can easily lead to fragmented and disconnected data. By joining the Webinar, you will have the opportunity to learn how Odoo supports connecting engagement channels such as Zalo, Messenger, Website, and Hotline, helping enterprises centralize customer information on a single system. As a result, staff can more conveniently receive requests, look up information, and track interaction history without constantly switching between multiple platforms. 4.2. Learn how to manage customers centrally and seamlessly across multiple branches For enterprises with multiple branches, a single customer may interact with different departments or staff members. If data is not synchronized, enterprises easily encounter information duplication or inconsistency during the customer care process. Odoo CRM supports building centralized customer profiles, recording interaction history, and enabling relevant departments to access necessary information. Through the session, you will gain a clearer understanding of how to manage customer data seamlessly across multiple branches, support the identification of new and existing customers, and maintain continuity in the customer care process. 4.3. Discover professional customer service workflows with Odoo Ticket A support request that is missed or not followed through to completion can directly impact the customer experience. Odoo Ticket is a tool that helps enterprises receive, assign, and manage customer service requests through individual tickets. Each ticket can be tracked by processing status, assigned personnel, and resolution progress. This provides enterprises with a foundation to control work, define responsibilities, and minimize the risk of neglected requests. At the Webinar, attendees will have the opportunity to learn how to build a more structured customer service workflow, from receiving requests to completing resolution and recording customer feedback. 4.4. Understand how to connect customer service with Marketing and Sales operations Customer care activities should not be isolated from Marketing and Sales. Information recorded during interactions can provide value for marketing, sales, and customer relationship development activities. With the Odoo system, enterprises can connect customer data with business operations, supporting the tracking of customer sources, interaction history, and sales opportunity conversion processes. This gives departments an additional basis for collaboration, minimizing information gaps when customers transition from the inquiry stage to consulting, purchasing, and after-sales care. Attending the Webinar is an opportunity for you to better understand how to build a connected customer management process between Marketing, Sales, and Customer Service. 4.5. Access real-world scenarios and exchange insights with experts Instead of just learning about concepts or individual features, observing how a process operates on the system will help enterprises better visualize the potential of applying technology to actual operations. At the November Odoo Webinar, attendees will be introduced to illustrative content regarding multi-channel, multi-branch customer management and customer service request processing workflows. In addition, the program provides an opportunity for attendees to ask questions, discuss current challenges, and listen to insights shared by the expert team from Paracel. This is a valuable opportunity for enterprises to gain additional perspectives before choosing the direction to optimize their customer care workflows. 5. Odoo Webinar Information – Register for Free If your enterprise is struggling with multi-channel customer data management, controlling customer service operations across multiple branches, or standardizing request handling processes, this November's Odoo Webinar is an event worth attending. Don't just stop at learning about digital transformation. Directly observe how Odoo CRM supports enterprises in managing and connecting customer care operations on a single system. Event information: Topic: Customer Care Digital Transformation: Unifying Multi-Channel, Multi-Branch Data with Odoo. Time: 14:00 – 15:00, November 11, 2026. Format: Online. Registration fee: Free. Organizer: Paracel x Odoo Register now so you don't miss the opportunity to learn how to optimize customer care workflows with Odoo! Note: The Webinar participation link will be sent to the email address you used during registration prior to the event. 6. Frequently Asked Questions about the Webinar WHAT IS CRM SOFTWARE? TOP 7 POPULAR CRM SOFTWARE TO TRY What is a Webinar? Webinar is short for Web-based Seminar, referring to a seminar or conference held online via the Internet. Attendees can follow the content, interact, and ask questions to speakers without being physically present at the venue. Is there a fee to join a Webinar? Depending on the program and organizer, a Webinar can be free or paid. Many enterprises organize free Webinars to share knowledge, introduce solutions, and connect with potential customers. What should you prepare when attending a Webinar? To participate smoothly in a Webinar, you should prepare: To join the Webinar smoothly, you should prepare: A computer, laptop, or phone with a stable Internet connection. The access link to the program. Headphones or speakers to follow the content. Questions related to the topic to exchange with the speakers. Can I rewatch the Webinar after it ends? A computer, laptop, or mobile phone with a stable Internet connection. The link to access the program. Headphones or speakers to follow the content. Questions related to the topic to discuss with the speaker. Rewatching a Webinar depends on the organizer's policy. Some programs provide recordings or materials after the event, while others are live-only. With Odoo Webinars hosted on the official Odoo APAC Official channel on YouTube, you can easily rewatch the session. Who is a Webinar suitable for? Odoo APAC Official on YouTube, you can easily rewatch the Webinar session. Webinars are suitable for various audiences such as students, professionals, managers, and business owners. In particular, this format is useful for those who want to update their knowledge, learn about technology trends, or discover solutions to support business operations. 7. Conclusion A Webinar is not only an online seminar format but also a bridge helping individuals and enterprise access knowledge, experts, and practical solutions. Focusing on customer service digital transformation, the Odoo Webinar organized by Paracel will provide an opportunity to learn how to unify omni-channel data, manage multi-branch customers, and standardize customer service processes on Odoo. Register to participate today with Paracel to explore new approaches in customer management and service! Register to join today and explore new approaches in customer management and care with Paracel!

11/09/2026 · 12 min read

[WEBINAR ODOO X PARACEL] CHUYỂN ĐỔI SỐ CSKH: HỢP NHẤT DỮ LIỆU ĐA KÊNH, ĐA CHI NHÁNH VỚI ODOO

[WEBINAR ODOO X PARACEL] CHUYỂN ĐỔI SỐ CSKH: HỢP NHẤT DỮ LIỆU ĐA KÊNH, ĐA CHI NHÁNH VỚI ODOO Doanh nghiệp có nhiều chi nhánh nhưng dữ liệu khách hàng vẫn rời rạc? Tin nhắn từ Zalo, Messenger, Website hay Hotline phân tán trên nhiều kênh khiến nhân viên khó theo dõi lịch sử tương tác và xử lý yêu cầu xuyên suốt? Webinar hợp tác giữa Odoo và Paracel Technology Solutions sẽ cùng quý anh chị tìm hiểu cách giải quyết bài toán này thông qua hệ thống quản lý CSKH tập trung: ✅ Hợp nhất tin nhắn từ Zalo, Messenger, Website và Hotline trên một hệ thống. ✅ Nhận diện khách hàng cũ/mới nhanh chóng thông qua số điện thoại. ✅ Theo dõi vòng đời mua hàng, tiến độ xử lý yêu cầu hỗ trợ và khiếu nại. ✅ Khám phá case study số hóa dữ liệu cho gần 40 cửa hàng thuộc chuỗi vàng bạc lớn tại Việt Nam. 📌 THÔNG TIN WEBINAR 🗓️ Thời gian: 14:00 – 15:00, ngày 11/11/2026 (giờ Việt Nam). 📍 Hình thức: Trực tuyến trên YouTube (đường dẫn tham gia được gửi qua email đăng ký). 🎟️ Tham dự miễn phí. 👉 Đăng ký ngay qua mã QR trên hình hoặc liên kết https://www.odoo.com/r/prc để khám phá cách hợp nhất dữ liệu tương tác đa kênh, đa chi nhánh và kết nối quy trình CSKH với Odoo.

10/30/2026 · 2 min read

WHAT IS CRM SOFTWARE? TOP 7 POPULAR CRM SOFTWARE TO TRY

CRM software helps enterprise centralize customer information on a single system, track sales activities, and coordinate more effectively across departments. Instead of manually consolidating data from each facility, managers can monitor business performance on a unified platform while assigning access permissions based on roles and management scope. So what is CRM software, what are the solutions worth considering, and what criteria should enterprise use to choose? The following article will give you an overview before implementation. 1. What is CRM Software? What Do Enterprise Use CRM For? 1.1. What is CRM software? CRM (Customer Relationship Management) stands for customer relationship management. CRM software is a tool that supports enterprise in storing, managing, and leveraging customer information throughout the approach, sales, and post-sales care process. Unlike an Excel file used only to record names, phone numbers, or contact information, CRM can link customer data with interaction history, sales opportunities, quotations, appointments, and support activities. As a result, staff can grasp the context of each customer before continuing discussions, even if the person in charge changes. 1.2. Benefits of using CRM software Centralize customer data: Customer information from multiple sources is managed on the same system, helping to minimize fragmented data across branches, employees, or standalone tools. Identifying duplicate customers and updating information is also more convenient. Track leads and sales opportunities: CRM helps enterprise manage customers from the moment a need arises until the deal is closed. Managers can know which stage a customer is in, which employee is in charge, which opportunity needs prioritization, and which transaction risks being missed. Standardize customer care processes: Call history, emails, appointments, and support requests can be saved so that taking-over staff do not have to start over from scratch. Enterprise can also set up task reminders, assignment rules, and follow-up processes to minimize missing customers. Track business performance through reports: Reports on leads, conversion rates, sales, and employee performance help managers evaluate business conditions. For multi-branch enterprise, consolidating data helps compare results across facilities and identify areas for improvement. Enhance coordination among branches: When properly configured, CRM helps branches share necessary data, reduces duplicate data entry, and supports collaboration when customers contact multiple locations. Enterprises can still restrict viewing, editing, or customer assignment permissions by department. 1.3. Essential features of a CRM software Not every CRM software fully meets the needs of a multi-branch enterprise. When choosing, enterprises should consider the following feature groups that align with enterprise needs: Customer information management: Store contact information, transaction history, interactions, and customer needs in a unified profile. Lead and sales opportunity management: Track customer sources, sales stages, opportunity values, and assigned staff. Customer care activity management: Record calls, emails, appointments, support requests, and communication history. Process automation: Automatically assign customers, remind follow-up schedules, update statuses, or trigger workflow steps based on conditions. Reporting and analytics: Track sales, conversion rates, staff performance, and results by each branch. Permissions and multi-branch management: Allow setting data access permissions by role, department, or facility. Integration capabilities: Connect with email, website, marketing platforms, call centers, POS systems, accounting, or ERP when needed. AI applications: Support interaction summarization, data analysis, lead scoring, or suggesting next-step care, depending on the software and usage package. For expanding enterprises, data connectivity and process customization capabilities are often just as important as the number of available features. A suitable system needs to meet current needs while remaining scalable as the enterprise opens additional branches or departments. 2. Top 7 Popular CRM Software Today Each CRM software has its own development focus, pricing model, and strengths. The list below introduces 7 solutions worth considering, not a ranking from best to worst. 2.1. Odoo CRM Odoo CRM stands out for its ability to connect sales activities with operational processes on a single platform. In addition to managing leads and sales opportunities, the software supports predictive lead scoring, rule-based lead assignment automation, and tracking customer sources via UTM. As a result, enterprises can identify high-priority opportunities and evaluate the effectiveness of customer acquisition channels. Key Features Customer Data Management: Store contact information, needs, transaction history, and interactions in a single system. Lead and Sales Opportunity Tracking: Manage customer sources, opportunity values, sales progress, and assigned staff. Customer Care Management: Record calls, emails, meetings, and appointments, helping staff track tasks and avoid missing customers. Process Automation: Set up task assignments, schedule reminders, and status updates based on configured conditions. Business Performance Reporting: Track conversion rates, sales opportunities, and work performance to support decision-making. Marketing Campaign Tracking: When combined with suitable Marketing applications, enterprises can manage campaigns and evaluate customer engagement levels. Permissions and Multi-branch Management: Control access rights by user, group, or unit based on system configuration. Business Integration: Integrate CRM with applications such as Sales, Accounting, Inventory, Website, and Marketing to synchronize data across operations. A notable highlight of Odoo CRM is its ability to scale from customer management to related business operations. When using the right matching applications, enterprise can connect CRM data with Sales, Inventory, Accounting, Website, and Marketing. As a result, customer information, quotations, orders, and operational activities do not need to reside in isolated systems. Which enterprise is Odoo CRM suitable for? Odoo CRM is suitable for enterprise wanting to manage customers and sales on a scalable platform, especially when needs extend beyond CRM to include order management, inventory, accounting, or other operational activities. For enterprise with multiple branches, the value of Odoo lies not only in centralized data storage but also in the ability to design coordination processes between locations, standardize workflows, and connect information seamlessly across the system. At Paracel, the Odoo implementation process begins with surveying the operational model, identifying management requirements, and consulting on suitable workflows. Depending on the actual business problem, the system can be configured, customized, and integrated to meet enterprise needs, rather than applying a one-size-fits-all process to every unit. >> Contact: Get Odoo CRM implementation consulting 2.2. Salesforce CRM Salesforce Sales Cloud targets enterprise requiring advanced sales process management. A notable feature is the Einstein AI toolset, which can score opportunities on a scale of 1-99 based on data and factors related to deal closure potential. Sales representatives can use these scores to prioritize high-potential opportunities rather than relying solely on subjective assessment. Key Features Manage leads, contacts, accounts, and sales opportunities. Track pipelines and revenue forecasting. Automate certain sales activities. Support reporting, data analytics, and AI applications based on the subscription tier. Expand through tools and applications within the Salesforce ecosystem. Suitable Enterprise: Medium and large enterprise, especially organizations with complex sales processes requiring an advanced CRM ecosystem and scalability. 2.3. HubSpot CRM HubSpot CRM focuses on connecting customer data with Marketing, sales, and customer service activities. The platform serves over 306,000 customers in more than 135 countries. HubSpot also offers a free CRM version with no time limit, supporting contact management, deals, and interaction history. Key Features Manage customer profiles and interaction history. Track leads and sales pipelines. Support for email, forms, scheduling, and various marketing tools. Provide reports, nurturing tools, and automation depending on the plan. Connect data across Marketing, Sales, and customer service departments. Advantages HubSpot features a relatively accessible interface, suitable for enterprises looking to connect marketing and sales activities. Free tools also help small teams get familiar with CRM before investing in advanced features. Limitations The scope of free usage has limitations on users and features. When the enterprise needs deep automation, advanced reporting, or multiple functions within the same ecosystem, costs can increase significantly. Suitable enterprises: Startups, small and medium enterprises, and Marketing-Sales teams that need close collaboration in attracting, nurturing, and converting customers. 2.4. Zoho CRM Zoho CRM integrates the Zia AI assistant to support analysis and forecasting in the sales process. Specifically, Zia can score leads, predict the probability of winning or losing a deal, and estimate revenue based on available data. As a result, the sales team has additional basis to prioritize opportunities and identify deals that require closer follow-up. Key Features Manage leads, contacts, accounts, and deals. Set up workflows and follow-up reminders. Track sales performance through reports and forecasts. Support analytics, lead scoring, and AI features depending on the version. Connect with other applications within the Zoho ecosystem. Advantages Zoho CRM offers multiple versions suitable for enterprises of various scales. Its diverse ecosystem helps enterprises consider expanding from CRM to tools supporting marketing, customer support, and task management. Limitations Features and usage limits vary across plans. If an enterprise uses multiple applications or needs integration with systems outside of Zoho, connectivity capabilities and total operating costs must be carefully evaluated. Suitable enterprises: Small and medium enterprises looking to manage sales, automate processes, and gradually expand their system using related applications. 2.5. Microsoft Dynamics 365 Sales Microsoft Dynamics 365 Sales is suitable for enterprises looking to connect customer management with the Microsoft working environment. Through Copilot, the system can summarize lead profiles, accounts, and sales opportunities; aggregate recent changes; and assist with drafting emails and preparing for meetings. This information helps staff quickly grasp the history and status of transactions before interacting with customers. Key Features Management of leads, contacts, and sales opportunities. Tracking of deal pipelines and revenue forecasting. Integration with compatible Microsoft tools, such as Outlook and Microsoft 365. Support for data analytics and AI features depending on the version and license. Process customization according to sales management needs. Advantages Dynamics 365 Sales is worth considering for enterprises already using the Microsoft ecosystem and looking to enhance collaboration between sales data, productivity tools, and analytics. Limitations Enterprises need to carefully evaluate licensing requirements, feature scope, and implementation costs. Deep customization or connecting multiple systems may require specialized resources. Suitable enterprises: Medium and large enterprises, especially those already utilizing Microsoft 365 or needing an analytical and scalable sales management platform. 2.6. Pipedrive Pipedrive focuses on helping sales teams track every deal through the stages of the sales process. Users can customize pipelines, monitor required activities, and identify stalled opportunities. The Insights reporting tool supports analyzing metrics such as deal volume, conversion rates, and pipeline bottlenecks. Key Features Management of leads, contacts, and deals. Setup of sales stages aligned with enterprise processes. Reminders and tracking for customer care activities. Support for email synchronization, automation, and reporting depending on the plan. Connection with numerous external applications via integrations. Advantages Pipedrive features a sales-focused approach, making it easy for sales teams to visualize active opportunities and avoid missing follow-up activities. The pipeline interface also helps managers quickly grasp deal progress. Limitations Pipedrive leans towards sales management; therefore, enterprises with comprehensive operational management needs such as inventory, accounting, and manufacturing may require integrating additional systems. Advanced automation and management features depend on the subscription plan. Suitable Enterprise: Enterprises with sales teams that need clear pipeline management, opportunity tracking, and improved closing performance without immediately implementing an overly broad management system. 2.7. Bitrix24 Bitrix24 combines customer management with collaboration tools and a contact center. Enterprises can connect channels such as website forms, live chat, email, telephony, and supported messaging platforms. Incoming messages, calls, or form submissions can be logged as leads, deals, or updates to existing profiles. Key Features Customer, contact, and deal management. Reception of requests from sources integrated into the CRM. Automation of certain sales and customer care activities. Manage tasks, projects, schedules, and internal communication. Provide reports and advanced features based on the plan. Advantages Combining CRM and collaboration tools helps employees manage customers, assign tasks, and coordinate work within the same environment. Bitrix24 also offers a free plan with a certain scope of use for enterprises to experience before upgrading. Limitations Due to the integration of multiple feature sets, the interface and setup process may take some time to get used to. Enterprises should check the limits of each plan, especially when managing multiple branches, complex access permissions, or deep automation. Suitable enterprise types: Enterprises looking to combine customer management with internal collaboration, task assignment, and progress tracking on a single platform. >> See More: WHAT IS CUSTOMER SERVICE? WHY IS IT NECESSARY TO UNIFY CUSTOMER DATA? 3. Which CRM Software Should Enterprises Choose? 3.1. Small enterprises needing easy-to-use, low-cost CRM For small enterprises, the initial priority should be centralized customer information management, interaction history tracking, and sales opportunity control without adding operational burdens. However, enterprises need to consider user limits, features, scalability, and costs when upgrading. If there is an early expectation to manage orders, inventory, or accounting on the same system, solutions with scalability from the outset should be considered to minimize future data migration. 3.2. B2B enterprises with multi-stage sales processes B2B enterprises typically need to track customers through multiple steps, from prospecting, consulting, and quoting to negotiation and contract signing. If information is scattered across emails, spreadsheets, and personal notes, managers will find it difficult to identify which opportunities are stalling or need support. Pipedrive suits visual pipeline tracking needs; Salesforce and Microsoft Dynamics 365 Sales are worth considering when enterprises need to manage complex processes, deep analytics, or control operations across multiple sales teams. When connecting sales opportunities with quotes, orders, and operational workflows is required, enterprises should consider Odoo CRM. 3.3. Enterprises with multiple customer care channels When customers reach out via website, email, phone, Zalo, or Messenger, the challenge is not only receiving messages but also maintaining a seamless support history. Staff need to know whether the customer has contacted before, who is in charge, and the current resolution status. Enterprises should prioritize CRM systems capable of integrating currently used channels, recording interaction histories, and routing requests to the appropriate staff. Before making a selection, verify the connectivity capabilities for each specific channel, especially messaging platforms popular in Vietnam. Not all channels are supported out-of-the-box in every service plan. 3.4. Enterprises with multiple departments and branches that need data synchronization For multi-branch enterprises, customer data can be duplicated or scattered across units. A customer who has purchased at one branch and contacts another may still be treated as a new customer if the information has not been synchronized. In this case, enterprises should prioritize systems with a centralized customer profile, role-based access control, customer assignment mechanisms, and branch-level reporting. At the same time, it is necessary to clearly define which data is shared system-wide and which data is restricted to specific departments or branches. 3.5. Enterprises needing a CRM connected with ERP and management operations If a CRM only needs to manage contacts and sales opportunities, a standalone solution can meet these needs well without deploying other management modules. However, when staff need to check inventory, order status, debt, or purchase history to consult customers, using separate systems can increase cross-checking steps and the risk of data discrepancies. At this point, enterprises should consider a CRM embedded within an integrated ERP system like Odoo. When properly configured, customer data can connect with sales, inventory, accounting, and related operations, helping departments collaborate on a single platform. The point to consider is not only the number of features, but also the true scope of integration needed. If the enterprise already has an ERP or dedicated accounting software, the cost and complexity of connection must be evaluated before migrating the entire system. 4. Criteria to Consider Before CRM Implementation 4.1. Define objectives and customer management processes Before choosing software, enterprises need to identify priority issues: lead leakage, lack of care history, difficulty controlling sales performance, or data scattered across branches. From there, build customer management processes, sales stages, and responsibilities for each department. The clearer the objectives, the easier it is for enterprises to determine necessary features and avoid investing in functions that are not yet needed. 4.2. Evaluate integration capabilities with existing systems The CRM must be able to connect with tools serving business operations such as websites, email, call centers, marketing platforms, sales software, or accounting. Before implementation, it is necessary to clarify how data will be synchronized in terms of direction, update frequency, and which system is the primary data source. For multi-branch enterprises, it is advisable to further test the ability to limit duplicate data, manage shared information, and aggregate reports across the entire system. 4.3. Balance licensing, implementation, and operational costs CRM costs consist of more than just subscriptions or software licenses. Enterprises must factor in the costs of process setup, data entry and cleaning, system integration, user training, maintenance, and upgrades. A solution with a low starting price may not necessarily have a low total cost if it requires purchasing many additional utilities or custom development. Therefore, total projected costs over several years should be compared against the operational efficiency the system can deliver. 4.4. Ensure data security and access control A CRM stores contact information, transaction history, and customer interaction data, so it requires an appropriate protection mechanism. Enterprises should evaluate role-based access control, action history logging capabilities, data backup and recovery mechanisms, as well as account management procedures when personnel change. With a multi-branch model, it is necessary to clearly define the view, edit, and export data permissions for each user group to both support collaboration and restrict access outside of job scopes. 4.5. Choosing the implementation and post-sales support partner The right software may still underperform if the implementation process lacks clarity. Enterprises should consider the partner's industry implementation experience, business survey capabilities, data migration, system integration, and user training. Additionally, it is essential to agree on the scope of work, implementation timeline, acceptance criteria, support policies, and potential additional costs. A partner who understands practical workflows will help enterprises choose the right configuration rather than merely installing software based on out-of-the-box features. 5. Conclusion CRM software helps enterprises manage customer information, track sales activities, and enhance cross-departmental collaboration. However, choosing the right solution should be based on scale, business processes, integration needs, and budget, rather than simply comparing the number of features. Paracel Technology Solutions provides consulting and Odoo implementation based on the enterprise's actual workflows, from system configuration to customization and integration when needed. The goal is to build a consistent data flow, support centralized customer management, and improve collaboration between departments and branches. Want to learn how to unify omni-channel, multi-branch customer data with Odoo? Register for the webinar "Customer Care Digital Transformation: Unifying Omni-Channel, Multi-Branch Data With Odoo" co-organized by Odoo and Paracel Technology Solutions at 14:00-15:00 on November 11, 2026 to discover the solutions and how to apply them to your enterprise's reality. 👉 Registration link: https://erp.pworkspace.com/r/quE

10/26/2026 · 16 min read

WHAT IS CUSTOMER CARE? WHY IS UNIFYING CUSTOMER DATA ESSENTIAL?

What is customer care , what role does this activity play for the enterprise, and why has unifying customer data become a critical factor in optimizing operations? Let's join Paracel to explore the concepts, benefits, common challenges, and ways to build an effective customer care system. 1. What is customer care? The role of customer care in the enterprise 1.1. What is the concept of customer care? Customer care stands for Customer Care , encompassing support activities, consulting, answering inquiries, receiving feedback, and handling issues to meet customer needs throughout their interaction with the enterprise. Customer care activities can take place before, during, and after a customer purchases a product or uses services. Before purchasing, the enterprise provides information and consulting so customers understand the product clearly. During the purchase process, staff assist with order-related issues, payment, or service usage. After the purchase, care continues through answering inquiries, handling complaints, guiding usage, and recording feedback. Therefore, customer care is not simply answering messages or resolving complaints when issues arise. It is the process of maintaining interactions, tracking needs, and building long-term relationships with customers. 1.2. Popular forms of customer care Depending on product characteristics, target customers, and operational models, the enterprise can implement various forms of customer care. Direct care: Staff consult and support customers at stores, offices, or branches. This form is typically suited for services requiring direct discussion or in-depth support. Care via phone: Using hotlines or switchboards to consult, answer inquiries, receive feedback, and handle arising issues. Care via email and website: Receiving requests, sending guide information, updating processing status, or supporting customers through contact forms and live chat. Social Media Support: Interact with customers on platforms like Facebook Messenger and Zalo, where customers can proactively send messages, ask questions, or provide feedback on products and services. Automated Support: Utilize chatbots, email automation, and automation tools to answer common questions, send notifications, or assist with initial request categorization. In reality, many enterprises combine multiple customer care formats to accommodate diverse customer contact habits. However, the more communication channels there are, the more enterprises need to focus on data connectivity and cross-channel coordination. 1.3. Distinguishing Customer Care, Customer Service, and CRM Customer care is an operational activity, while customer service focuses heavily on meeting and resolving specific needs. CRM (Customer Relationship Management) encompasses how enterprises organize operations and use systems to manage information, interaction history, and customer relationships. A suitable CRM system provides staff with additional insights during consulting, supports inter-departmental coordination, and reduces reliance on isolated data sources. However, practical effectiveness still depends on data quality, operational processes, and integration capabilities with currently used systems. 2. The Importance of Customer Care Customer care directly impacts how customers evaluate and maintain relationships with the enterprise. When supported promptly, customers have a basis to trust products, services, and the brand more deeply. Some prominent roles of customer care include: Enhance Satisfaction: Help customers have their questions answered, issues resolved, and receive appropriate support during the use of products and services. Increase Customer Retention: Positive care experiences contribute to maintaining relationships and encouraging customers to continue using services or making purchases. Build Brand Reputation: How an enterprise responds and resolves issues demonstrates its level of professionalism and responsibility toward customers. Improve Products and Services: Questions, complaints, and feedback from customers help enterprises identify inadequate points for adjustment. Support Revenue Growth: Maintaining relationships with existing customers facilitates upselling, cross-selling, and exploring suitable business opportunities. Thus, customer service is not merely an after-sales support activity but also part of the strategy to develop customers and enhance the enterprise's competitiveness. 3. Why do enterprises face difficulties in managing customer service data? 3.1. Customer data is scattered across multiple channels and systems During operations, enterprises may store customer information in Excel spreadsheets, emails, sales software, social media message histories, or department-specific systems. Each tool reflects only a portion of the information. Sales staff may know the transaction history, while customer service staff only see support request details. If systems are not connected, compiling complete information takes much time and is prone to errors. 3.2. Staff lack information on interaction history Imagine a customer messaging via Facebook to ask about a product, then calling the hotline to check order status. If the two channels operate independently, the call-handling staff may not know what the customer discussed previously. The customer has to restate the issue, and the staff spends extra time verifying information. In some cases, departments may give different answers or omit previously discussed content. When this happens frequently, customer service quality is hard to maintain consistently, regardless of the team's supportive attitude. 3.3. Difficulty in synchronizing customer service activities across multiple branches For enterprises with multiple stores or branches, customer data is usually managed per unit. Each location may use its own spreadsheets, software, or updating processes. This causes difficulties when a customer contacts another branch, needs support from the central department, or continues processing a request initiated at a previous location. Staff may not know the work history, person in charge, and current processing status. 3.4. Lack of comprehensive data to personalize experiences Personalizing customer service requires enterprises to understand what customers have purchased, which products they were interested in, what problems they encountered, and their previous support requests. However, when data is scattered, each staff member only accesses partial information. Care activities thus easily become generic, not aligned with each customer's specific needs. Enterprises also find it difficult to determine when to re-contact, which customer groups need priority, or which issues require proactive follow-up after sales. 3.5. Difficulty in measuring performance and customer service quality When data is recorded across multiple systems, managers must aggregate reports from various sources to evaluate customer service activities. This process not only wastes time but can also lead to discrepancies in figures between departments. Metrics such as response time, on-time resolution rate, backlog volume, or individual staff performance are hard to track without unified data. Consequently, enterprises struggle to identify causes of delays, allocate personnel properly, and improve support quality based on actual data. 4. Why do enterprises need to unify customer data? 4.1. Building a centralized customer profile Once data is consolidated, the enterprise can build customer profiles including contact information, transaction history, communication content, and related support requests. Instead of searching for information across multiple tools, staff can access the appropriate profile to understand the context before consulting or handling an issue. Data standardization also helps limit duplicate profiles and inconsistent information. As a result, the enterprise creates a data foundation to support customer service, sales, and marketing operations, depending on the access permissions established. 4.2. Synchronizing interaction history across multiple channels When communication channels are properly integrated, interaction history can be recorded and linked to the corresponding customer profile. Staff receiving requests through a new channel have additional information to understand the context, track previously exchanged content, and continue support without having to start over. However, the level of synchronization depends on the integration capabilities of each platform. The enterprise needs to clearly define what data can be connected, how history is recorded, and the technical limits of each channel. 4.3. Standardizing the request intake and processing workflow Data consolidation enables the enterprise to manage customer service requests through a unified workflow. Each request can be recorded, categorized, assigned to the person in charge, and tracked for its processing status. As a result, the enterprise can easily identify which requests are pending, which cases need to be escalated, and which issues are completed. Responsibility among staff is also defined more clearly. This is the basis for minimizing missed requests, improving response times, and enhancing service quality control capabilities. 4.4. Enhancing coordination between departments and branches Customer information often involves multiple departments. For example, a support request may require customer service to receive it, sales to verify order information, and the technical team to handle specialized issues. If data is managed separately, handovers are prone to delays or missing information. Conversely, a unified data system helps authorized departments access necessary information and coordinate according to a single workflow. For multi-branch enterprises, this approach also supports tracking activities across the entire system while allowing role-based permission management and scope control. 4.5. Improving analytical and decision-making capabilities Once standardized and aggregated, customer service data can help the enterprise track key metrics such as response time, on-time resolution rate, volume of requests per channel, and customer satisfaction levels. From this information, managers can identify common issues, evaluate the workload of each department, and determine which stages need improvement. Instead of relying mainly on manual reports or subjective assessments, the enterprise has a clearer basis to adjust processes, allocate resources, and enhance customer service efficiency. 5. What do enterprises need to do to effectively consolidate customer data? To consolidate data effectively, enterprises need to combine information standardization, system connectivity, and unified management workflows. 5.1. Review existing data sources Identify where customer data resides, which tools are currently in use, and which issues need prioritized handling. At the same time, check the completeness, accuracy, and duplication of data to determine the appropriate implementation scope. 5.2. Standardize customer information Unify the profile structure, necessary information fields, and customer identification rules. The enterprise also needs to process duplicate data and assign updating responsibilities to ensure information is always accurate and consistent. 5.3. Connect customer service channels and management systems Consider connecting websites, email, live chat, Zalo, Facebook Messenger, or call centers with the customer management system. Priority should be given to channels with high interaction frequency, while evaluating the integration capability and synchronizable data scope of each platform. 5.4. Standardize processes and assign responsibilities Establish clear procedures for receiving, classifying, assigning, and processing requests. Each request needs an assigned person in charge, a completion deadline, and a handover mechanism between departments or branches to minimize information omission. 5.5. Decentralize permissions and protect data Establish role-based access controls, monitor viewing and editing of information, and manage access activities. The collection and use of customer data must comply with current legal regulations on personal data protection. 6. How does Odoo help enterprises unify data and manage multichannel customer service? Instead of managing information across multiple separate tools, enterprises can use Odoo to connect customer data and standardize care processes. Through applications like CRM and Helpdesk, the system supports information management, request tracking, and cross-departmental coordination. 6.1. Centralized customer information management with Odoo CRM Odoo CRM supports storing potential customer information, business opportunities, and work history recorded in the system. As a result, sales and customer service teams have a basis for coordination, reducing reliance on separate spreadsheets. 6.2. Track support requests with Odoo Helpdesk Odoo Helpdesk allows recording requests as tickets, assigning persons in charge, and tracking processing status. This helps enterprises control progress, minimize missed requests, and clearly define the responsibilities of each department. 6.3. Connect communication channels and branches Depending on the configuration and integration plan, enterprises can connect channels such as websites, email, live chat, social networks, or call centers to the customer service process. The system can also support managing and tracking work across multiple branches, ensuring information is shared according to access permissions and operational needs. The synchronization capability of each channel depends on the specific platform and integration solutions. Therefore, enterprises need to clearly define their needs before implementation. 6.4. Paracel accompanies enterprises in optimizing customer service processes Paracel provides consulting and Odoo implementation based on the current data, processes, and operational model of each enterprise, from customer information management to support request tracking and multi-branch collaboration. To learn more about practical solutions, Paracel is collaborating with Odoo to organize the webinar "Customer Care Digital Transformation: Unifying Omnichannel and Multi-Branch Data with Odoo" . 👉 Register for the webinar at: https://www.odoo.com/r/prc to discover how to unify data and optimize customer service processes for the enterprise. 7. Conclusion Customer service is a crucial activity that helps enterprises enhance satisfaction, maintain relationships, and build customer trust. However, when information is stored across multiple channels and disparate systems, enterprises struggle to track interaction history, coordinate request handling, and maintain consistent service quality. For enterprises scaling up or managing multiple communication channels, Odoo provides a platform to connect data and coordinate customer service activities on a single system, tailored to specific needs and implementation plans. Paracel accompanies enterprises from current state assessment to consulting and Odoo implementation, aiming for a unified customer service process aligned with operational realities. Contact Paracel for specific consulting!

10/22/2026 · 11 min read

Mã HS Là Gì Trong Khai Báo Hải Quan? Tra Mã HS Nhanh Với AI

Trong hoạt động xuất nhập khẩu, mã HS là một trong những thông tin quan trọng nhất khi khai báo hàng hóa. Mã HS không chỉ được sử dụng để phân loại hàng hóa mà còn liên quan đến việc xác định thuế suất, chính sách quản lý và các yêu cầu đối với từng nhóm hàng. Vấn đề là việc tra mã HS code không phải lúc nào cũng đơn giản. Một sản phẩm có thể được mô tả theo nhiều cách khác nhau trên invoice, packing list hoặc tài liệu kỹ thuật. Nếu lựa chọn mã không phù hợp, doanh nghiệp có thể phát sinh chênh lệch thuế, phải khai bổ sung hoặc gặp khó khăn khi thông quan. Vậy mã HS là gì, tra mã HS như thế nào và AI có thể hỗ trợ công việc này ra sao? Cùng tìm hiểu trong bài viết dưới đây. 1. Mã HS Là Gì Và Vì Sao Phải Tra Đúng? Mã HS (Harmonized System Code) là mã số được sử dụng để phân loại hàng hóa trong thương mại quốc tế theo Hệ thống hài hòa (Harmonized System – HS) do Tổ chức Hải quan Thế giới (WCO) phát triển. Hệ thống HS được sử dụng làm cơ sở phân loại hàng hóa tại hơn 200 quốc gia và nền kinh tế. Về cơ bản, mỗi nhóm hàng hóa được xác định bằng một mã gồm 6 chữ số ở cấp độ quốc tế, sau đó mỗi quốc gia có thể chi tiết hóa thêm theo hệ thống phân loại và biểu thuế của mình. Tại Việt Nam, mã hàng hóa được sử dụng trong biểu thuế và khai báo hải quan ở mức chi tiết hơn. Vì vậy, khi doanh nghiệp tra mã HS code, không chỉ cần tìm một mã có tên hàng tương tự mà còn phải xem xét đặc điểm thực tế của hàng hóa và các quy tắc phân loại có liên quan. 1.1 Cấu trúc cơ bản của mã HS Có thể hình dung cấu trúc mã HS theo các cấp: 2 chữ số đầu: Chương. 4 chữ số: Nhóm. 6 chữ số: Phân nhóm theo hệ thống HS quốc tế. Các chữ số tiếp theo: được chi tiết hóa theo hệ thống phân loại của từng quốc gia. Ví dụ với mã HS 8517.13.00 – Điện thoại thông minh: 85 -> Chương 85: Máy điện, thiết bị điện và các bộ phận của chúng. 8517 -> Nhóm 8517: Thiết bị dùng để truyền hoặc nhận tiếng nói, hình ảnh hoặc dữ liệu. 8517.13 -> Phân nhóm: Điện thoại thông minh. 1.2 Mã HS được sử dụng để làm gì? Việc xác định đúng mã HS giúp: Phân loại hàng hóa thống nhất trong hoạt động xuất nhập khẩu. Xác định thuế suất và các nghĩa vụ liên quan. Xác định chính sách quản lý đối với từng nhóm hàng. Hỗ trợ thống kê thương mại quốc tế. Làm cơ sở cho một số yêu cầu liên quan đến xuất xứ, hạn ngạch, giấy phép hoặc kiểm tra chuyên ngành. WCO cũng xác định HS là nền tảng để các quốc gia xây dựng biểu thuế hải quan và thu thập số liệu thống kê thương mại. Vì vậy, tra đúng mã HS không chỉ là tìm đúng tên sản phẩm. Người khai cần đối chiếu đặc tính, thành phần, công dụng, cấu tạo và các quy tắc phân loại phù hợp với hàng hóa thực tế. 2. Hậu Quả Khi Tra Sai Mã HS Một trong những rủi ro phổ biến trong khai báo hải quan là lựa chọn mã HS không phù hợp với hàng hóa thực tế. Việc sai mã HS có thể kéo theo những vấn đề như: 2.1 Bị truy thu thuế và phát sinh tiền chậm nộp Mã HS có thể ảnh hưởng đến mức thuế áp dụng cho hàng hóa. Nếu việc khai sai mã dẫn đến thiếu số thuế phải nộp, doanh nghiệp có thể phải nộp bổ sung phần thuế còn thiếu và các khoản liên quan theo quy định. Quy định về xử phạt vi phạm hành chính trong lĩnh vực hải quan hiện hành cũng xác định hành vi khai sai mã số hàng hóa dẫn đến thiếu thuế là một trường hợp vi phạm về khai thuế. 2.2 Phải sửa đổi hoặc khai bổ sung tờ khai Khi phát hiện mã HS đã khai không phù hợp, doanh nghiệp có thể phải thực hiện thủ tục khai bổ sung theo quy định. Điều này làm tăng số bước xử lý hồ sơ và thời gian dành cho một lô hàng. 2.3 Có thể ảnh hưởng đến tiến độ thông quan Khi thông tin khai báo cần được kiểm tra, bổ sung hoặc điều chỉnh, quá trình xử lý hồ sơ có thể phát sinh thêm thời gian. 2.4 Phát sinh chi phí logistics Nếu thời gian xử lý kéo dài, doanh nghiệp có thể phát sinh thêm các khoản chi phí liên quan đến lưu container, lưu bãi hoặc các chi phí logistics khác tùy trường hợp. 2.5 Tăng rủi ro khi kiểm tra sau thông quan Mã HS là một trong những nội dung quan trọng trong hồ sơ khai báo. Việc lựa chọn mã không nhất quán hoặc không có căn cứ rõ ràng có thể khiến doanh nghiệp gặp khó khăn khi cần giải trình trong quá trình kiểm tra, hậu kiểm. 3. Tra Mã HS Truyền Thống Và Hạn Chế Hiện nay, doanh nghiệp có thể tra mã HS code bằng nhiều phương pháp khác nhau. Tuy nhiên, mỗi phương pháp đều có những hạn chế nhất định. 3.1. Tra cứu trên các nguồn dữ liệu trực tuyến Người khai có thể sử dụng các nguồn thông tin chính thống để tìm kiếm mã HS, biểu thuế và các quy định liên quan. Cách này có ưu điểm là dễ tiếp cận và có thể kiểm tra thông tin trực tuyến. Tuy nhiên, người dùng vẫn phải xác định từ khóa tìm kiếm phù hợp và tự đối chiếu giữa mô tả hàng hóa với các nhóm, phân nhóm trong hệ thống HS. Với những mặt hàng có mô tả phức tạp, việc tìm đúng nhóm hàng có thể mất khá nhiều thời gian. 3.2. Tra cứu bằng biểu thuế hoặc file Excel Một cách phổ biến khác là sử dụng biểu thuế và dữ liệu mã hàng hóa để tìm kiếm. Ưu điểm của phương pháp này là có thể kiểm tra nhiều mã và thông tin liên quan trong cùng một nguồn dữ liệu. Tuy nhiên: Người dùng phải biết từ khóa hoặc mã gần đúng. Dữ liệu cần được cập nhật theo phiên bản hiện hành. Việc đối chiếu vẫn phụ thuộc nhiều vào kinh nghiệm của người khai. Khi có nhiều mặt hàng, quá trình tìm kiếm thủ công dễ mất thời gian. 3.3. Hỏi người có kinh nghiệm Với những mặt hàng đã từng khai báo, doanh nghiệp có thể tham khảo mã HS từ nhân sự có kinh nghiệm hoặc dữ liệu của các lô hàng trước. Đây là nguồn tham khảo hữu ích nhưng không nên mặc định rằng một mặt hàng từng dùng mã nào thì các lần sau luôn sử dụng đúng mã đó. Việc phân loại cần dựa trên hàng hóa thực tế và quy định áp dụng tại thời điểm khai báo. 3.4. Áp dụng 6 Quy tắc tổng quát giải thích việc phân loại hàng hóa Hệ thống HS không chỉ dựa trên tên gọi của hàng hóa. Việc phân loại còn được thực hiện theo 6 Quy tắc tổng quát giải thích Hệ thống hài hòa (General Rules for the Interpretation of the Harmonized System) cùng các Chú giải Phần, Chương và Phân nhóm liên quan. Đây là những nguyên tắc chính thức được sử dụng để xác định và phân loại hàng hóa trong Hệ thống HS. Các quy tắc đặc biệt quan trọng trong những trường hợp hàng hóa có đặc điểm phức tạp hoặc có thể được xem xét ở nhiều nhóm khác nhau. Chẳng hạn, Quy tắc 3 quy định cách xử lý khi một mặt hàng có vẻ có thể được phân loại vào từ hai nhóm trở lên. Việc áp dụng các quy tắc này đòi hỏi người khai phải hiểu đặc điểm thực tế của hàng hóa và có kiến thức nghiệp vụ để đối chiếu với các quy định, chú giải và tài liệu giải thích liên quan. Điểm hạn chế chung Trong thực tế, khi tra mã HS code theo phương pháp thủ công, người khai thường phải chuyển đổi thông tin từ mô tả hàng hóa trên chứng từ thành các đặc điểm phù hợp để tìm kiếm và đối chiếu với hệ thống mã HS, chú giải và quy tắc phân loại. Với những mặt hàng có đặc tính phức tạp hoặc doanh nghiệp xử lý số lượng lớn tờ khai, quá trình này có thể mất nhiều thời gian và phụ thuộc vào kinh nghiệm của người thực hiện. Đây là một trong những công đoạn AI có thể hỗ trợ bằng cách phân tích mô tả hàng hóa, đưa ra gợi ý mã HS để người khai tiếp tục kiểm tra và đối chiếu trước khi lựa chọn mã sử dụng trong tờ khai. 4. AI Gợi Ý Mã HS Trên EasyCus Hoạt Động Như Thế Nào? EasyCus là phần mềm khai báo hải quan bằng AI được phát triển bởi Paracel Technology Solutions nhằm hỗ trợ doanh nghiệp tự động hóa nhiều bước trong quy trình khai báo. Một trong các năng lực của EasyCus là AI gợi ý mã HS từ mô tả hàng hóa, giúp người dùng giảm thời gian tìm kiếm theo từ khóa chính xác. EasyCus không tách riêng việc tra mã HS thành một công cụ độc lập mà đặt công đoạn này trong toàn bộ quy trình từ chứng từ đến tờ khai. Bước 1: Nhập mô tả hàng hóa Người dùng có thể nhập thông tin mô tả hàng hóa để AI phân tích. Trong trường hợp doanh nghiệp đã tải bộ chứng từ lên EasyCus, dữ liệu liên quan đến hàng hóa có thể được lấy từ thông tin đã được AI đọc và trích xuất từ chứng từ. EasyCus hiện hỗ trợ AI nhận diện, đối soát và trích xuất dữ liệu từ các chứng từ như Invoice, Airway Bill và C/O. Bước 2: AI phân tích và gợi ý mã HS Dựa trên thông tin mô tả hàng hóa, AI đưa ra mã HS phù hợp để người dùng xem xét. Điểm khác biệt nằm ở cách tiếp cận: thay vì bắt đầu bằng việc nhập một từ khóa chính xác rồi lần lượt tìm kiếm, người dùng có thể cung cấp mô tả hàng hóa để AI hỗ trợ quá trình tìm kiếm. Bước 3: Người dùng đối chiếu và lựa chọn Sau khi nhận được gợi ý, người dùng vẫn cần kiểm tra thông tin hàng hóa, đối chiếu với quy định và lựa chọn mã HS phù hợp trước khi khai báo. Điều này đặc biệt quan trọng đối với những mặt hàng có cấu tạo, thành phần hoặc công dụng phức tạp. Bước 4: Tiếp tục tạo tờ khai Sau khi thông tin được kiểm tra và hoàn thiện, dữ liệu có thể tiếp tục được sử dụng trong quy trình tạo và quản lý tờ khai. Hệ thống hỗ trợ luồng xử lý từ tải chứng từ → AI đọc và trích xuất → kiểm tra, hoàn thiện → tạo và quản lý tờ khai. Như vậy, thay vì: Chứng từ → nhập liệu → tìm mã HS → kiểm tra → tạo tờ khai quy trình có thể được tổ chức thành: Chứng từ → AI trích xuất → AI gợi ý mã HS → đối chiếu → tạo tờ khai 5. Vì Sao Nên Lưu Vết Toàn Bộ Quá Trình Tra Cứu Mã HS? Trong hoạt động xuất nhập khẩu, việc chọn mã HS không chỉ cần đúng, mà doanh nghiệp cũng nên có khả năng giải thích cơ sở lựa chọn khi cần. Đặc biệt với những mặt hàng có tính chất phức tạp, nếu chỉ lưu lại kết quả cuối cùng mà không có thông tin về quá trình kiểm tra, doanh nghiệp sẽ khó rà soát lại khi phát sinh vấn đề. Lưu lại lịch sử giúp doanh nghiệp: Có cơ sở tham khảo khi xử lý các lô hàng tương tự. Dễ dàng rà soát lại thông tin đã sử dụng. Hỗ trợ công tác hậu kiểm và giải trình khi cần. Giảm sự phụ thuộc vào trí nhớ hoặc kinh nghiệm của một cá nhân. Xây dựng dữ liệu phục vụ việc chuẩn hóa quy trình khai báo nội bộ. Với một quy trình khai báo được số hóa, việc lưu trữ lịch sử xử lý cũng giúp doanh nghiệp chuyển từ cách làm dựa nhiều vào kinh nghiệm cá nhân sang cách quản lý dựa trên dữ liệu và quy trình. 6. Mẹo Để AI Gợi Ý Mã HS Chính Xác Hơn AI có thể hỗ trợ quá trình tra mã HS code, nhưng chất lượng của gợi ý vẫn phụ thuộc đáng kể vào thông tin đầu vào. 6.1 Mô tả hàng hóa càng đầy đủ, gợi ý càng có cơ sở Thay vì chỉ nhập: “Máy móc” doanh nghiệp nên cung cấp thông tin cụ thể hơn, chẳng hạn: Tên hàng. Công dụng. Chất liệu. Thành phần. Cấu tạo. Nguyên lý hoạt động nếu cần. Thông số kỹ thuật quan trọng. Hàng hoàn chỉnh hay bộ phận/linh kiện. Thông tin càng sát với hàng hóa thực tế thì AI càng có nhiều dữ liệu để phân tích và đưa ra gợi ý phù hợp. 6.2 Không nên phụ thuộc hoàn toàn vào một kết quả AI Đối với những mặt hàng đơn giản, AI có thể giúp rút ngắn đáng kể bước tìm kiếm ban đầu. Tuy nhiên, với hàng hóa phức tạp hoặc trường hợp có nhiều khả năng phân loại, người khai vẫn cần đối chiếu với Quy tắc tổng quát giải thích HS, chú giải Phần/Chương/Phân nhóm và các quy định liên quan. WCO xác định các quy tắc và chú giải này là một phần của cơ sở pháp lý và logic để phân loại hàng hóa thống nhất. Nói cách khác, AI nên được sử dụng để hỗ trợ tra cứu và đối chiếu nhanh hơn, không phải để bỏ qua bước kiểm tra nghiệp vụ. 7. Câu Hỏi Thường Gặp EasyCus do đơn vị nào phát triển? EasyCus được phát triển trực tiếp bởi Paracel Technology Solutions, đơn vị cung cấp giải pháp ERP (Odoo) và phát triển các sản phẩm AI, tự động hóa hướng đến những bài toán vận hành thực tế của doanh nghiệp. AI gợi ý mã HS trên EasyCus dựa vào đâu? AI của EasyCus có thể gợi ý mã HS dựa trên mô tả hàng hóa do người dùng cung cấp hoặc dữ liệu được lấy từ chứng từ đã được AI trích xuất trong quá trình tạo tờ khai. EasyCus giới thiệu tính năng tra cứu mã HS theo mô tả hàng hóa thay vì yêu cầu người dùng phải tìm kiếm bằng từ khóa chính xác. EasyCus có lưu lại lịch sử tra cứu mã HS không? EasyCus được xây dựng theo hướng số hóa và quản lý quy trình khai báo, trong đó dữ liệu và chứng từ được lưu trữ để hỗ trợ theo dõi, quản lý và hậu kiểm. Với thông tin chi tiết về phạm vi lịch sử tra cứu mã HS, doanh nghiệp nên kiểm tra theo phiên bản và cấu hình EasyCus đang sử dụng. AI gợi ý mã HS có thay thế hoàn toàn việc tra cứu thủ công không? Không. AI đóng vai trò hỗ trợ người khai tìm kiếm và đối chiếu nhanh hơn. Người khai vẫn cần kiểm tra thông tin hàng hóa và xác nhận mã HS trước khi sử dụng trong khai báo. Đặc biệt, với những mặt hàng phức tạp, việc đối chiếu các quy tắc phân loại và quy định hiện hành vẫn rất quan trọng. EasyCus khác gì so với cách tra mã HS truyền thống? Điểm khác biệt của EasyCus nằm ở việc đưa AI vào toàn bộ quy trình khai báo, thay vì chỉ cung cấp một công cụ tìm kiếm mã HS. Người dùng có thể bắt đầu từ bộ chứng từ, để AI hỗ trợ đọc và trích xuất dữ liệu, sau đó sử dụng thông tin này trong các bước kiểm tra, gợi ý mã HS và tạo tờ khai. EasyCus cũng giới thiệu các tính năng đối soát dữ liệu, kiểm tra trước khi truyền tờ khai và hiển thị lỗi tại vị trí cần chỉnh sửa. 8. Kết Luận Mã HS là một phần quan trọng trong khai báo hải quan vì liên quan đến việc phân loại hàng hóa, xác định thuế và áp dụng các chính sách quản lý tương ứng. Trong khi cách tra mã HS code truyền thống thường yêu cầu người khai tìm kiếm, đối chiếu và xử lý thủ công, thì với EasyCus, AI có thể hỗ trợ rút ngắn đáng kể bước tìm kiếm ban đầu. Với EasyCus, việc tra cứu mã HS được đặt trong một quy trình rộng điều này giúp doanh nghiệp không chỉ tìm kiếm thông tin nhanh hơn mà còn hướng tới một quy trình khai báo được số hóa và liên kết xuyên suốt. Nếu doanh nghiệp đang tìm cách giảm thao tác thủ công trong khai báo hải quan và muốn trải nghiệm cách AI hỗ trợ tra mã HS từ mô tả hàng hóa, có thể đăng ký demo EasyCus để tìm hiểu trực tiếp quy trình. Đăng ký demo EasyCus ngay hôm nay để trải nghiệm quy trình khai báo hải quan với AI.

10/05/2026 · 16 min read

AI DOCUMENT READING & CUSTOMS DATA EXTRACTION

In import and export operations, documents are a critical data source for the customs declaration process. From commercial invoices and packing lists to bills of lading and related documents, import-export personnel must collect, check, cross-reference, and input vast amounts of information before finalizing declaration data. As the volume of shipments increases, the workload of processing documents grows accordingly. Manual data entry is not only time-consuming but also creates numerous repetitive tasks, especially when information is presented in various formats. In this context, AI customs document reading can help enterprises automate the data extraction process from documents and reduce reliance on manual data entry. Combined with data validation functions and other input methods, this technology is being integrated into customs declaration software to help enterprises enhance document processing efficiency and prepare declaration data. EasyCus is the solutions created by Paracel for web-based customs declarations, developed with the orientation of applying AI and automation to the document processing workflow while supporting multiple data input methods tailored to the practical needs of import-export enterprise. 1. How Much Time Are Import-Export Personnel Losing to Manual Document Data Entry? A set of documents for customs declaration can contain various groups of information, such as: HS codes, item names, quantities, unit prices, values, delivery terms, buyer information, seller information, container numbers, bill of lading numbers, and other shipment-related data. However, this information is not always presented in a uniform structure. Invoices may be provided in PDF format, packing lists may use an entirely different template, while bills of lading have their own layout. For documents scanned or photographed from paper copies, image quality and formatting may also vary. In traditional workflows, import-export staff typically must perform multiple sequential actions: read the document, identify the information to use, enter data into the system, and cross-check with the original document. When processing a small batch of documents, the time spent on these actions may not have a significant impact. However, for enterprise with large shipment volumes, repeating this process numerous times becomes a substantial part of the daily workload. Besides processing time, manual data entry also introduces the risk of errors during the transfer of information from documents to the system. Mistakes such as mistyping quantities, unit prices, product details, or omitting data can lead to the need for review and adjustments. Therefore, the challenge is not only shortening data entry time, but also reducing manual steps while maintaining the ability to check and control data before declaration. This serves as the basis for applying AI customs document reading to the declaration workflow, aiming to help reduce repetitive data entry steps and improve input data processing efficiency. 2. What Is AI Customs Document Reading and Data Extraction? AI document reading is a technology that supports recognizing and extracting information from documents such as PDFs, images, or scans, then converting this information into structured data for further processing on the system. One of the foundational technologies commonly used in this process is OCR (Optical Character Recognition) - optical character recognition. OCR helps the system recognize characters appearing in images or documents and convert them into text data. However, pure OCR mainly focuses on recognizing content, whereas an AI document reading system needs to further solve the problem of determining the meaning and position of data within the document structure. For example, when the system recognizes a value like "500 PCS", the issue is not just identifying what this character string is, but also determining that this is quantity information and needs to be routed to the corresponding data field. The two technologies can be simply distinguished as: OCR: character recognition and converting content from images into text. AI data extraction: analyzes document content and structure to identify necessary information fields, thereby structuring the data appropriately for further processing. Compared to manual data entry, AI can significantly help reduce repetitive information entry tasks. However, data extracted by AI still needs to be checked and verified before being used for the next steps. 3. AI Document Reading and Declaration Creation Process on EasyCus With EasyCus , AI is integrated into the document data processing workflow, helping users reduce manual data entry tasks and structure information for declaration data. The process can be executed through four main steps: 1. Uploading the document set Users upload documents that need processing to the system, such as invoices, packing lists, or related documents. Uploading documents directly to the platform helps reduce manual data conversion steps before starting the data entry process. 2. AI analyzes and extracts data Upon receiving the documents, AI analyzes the content and extracts the necessary information. Instead of staff having to read each document and re-enter each data field, the system supports transferring information from documents into structured data. This is a step focused on reducing the volume of repetitive data entry work during the preparation of declarations. 3. Cross-checking data with original documents The extracted data needs to be reviewed before further processing. EasyCus supports users in reviewing the data and cross-checking it with the original documents, thereby verifying the information recognized by AI and making adjustments when necessary. This approach maintains the control role of import-export personnel, especially for information with high accuracy requirements. 4. Creating data for declaration purposes After reviewing and finalizing the data, users can proceed with further processing steps to create data for declarations on the system. A notable point in this process is that data verification is performed before moving to the declaration step, rather than only discovering issues after completing the data entry process. As a result, AI becomes a supporting layer in the declaration workflow, combined with the user's review and verification capabilities. 4. Why Paracel Developed Easycus with an AI + Automation Approach EasyCus is developed by Paracel Technology Solutions , with the strategic direction of applying AI and automation to practical enterprise operational challenges. In import-export operations, document data entry is just one step in the entire process. If data entry is automated without connecting to subsequent verification, standardization, and processing steps, the efficiency of automation remains limited. Therefore, EasyCus is developed to combine AI, automation, and validation, focusing on the processing chain from input data to data ready for declaration. The overall workflow can be visualized as follows: Original documents → AI data extraction → checking and reconciliation → validation → data ready for declaration. This approach helps solve problems at the process level rather than merely optimizing a single isolated task. At the same time, Paracel's experience in developing technology solutions for enterprises serves as the foundation for building EasyCus in a way that aligns AI with practical operational needs. The goal of EasyCus is not only to recognize information from documents, but to help enterprises shorten the process of converting data from documents into the declaration system while maintaining necessary professional verification steps. 5. Benefits of Using AI for Document Data Extraction Compared to Manual Entry For enterprises using customs declaration software, integrating AI into the data extraction process can generate significant improvements in document preparation and data entry. 5.1 Reduction in Manual Data Entry Tasks AI assists in extracting information from documents, thereby reducing the amount of data that staff must read and re-enter manually. This is especially meaningful when enterprises process multiple sets of documents or numerous line items in a single shipment. 5.2 Reduced Risk of Errors During Data Entry Manual data re-entry from documents into the system always carries the risk of discrepancies due to human error. Automating the extraction step reduces the number of re-entry operations, thereby limiting a common source of errors during the data preparation process. However, AI does not completely eliminate the need for verification. Users still need to cross-check the extracted data against the original documents before confirmation. 5.3 Data Standardization Documents from various partners may differ in format, layout, and information placement. Bringing data into a unified structure within the system makes the processing workflow more consistent while reducing dependence on the layout of each document type. 5.4 Increased Document Processing Speed When the data extraction portion is supported automatically, staff can reduce the time spent on repetitive data entry tasks. Instead of focusing most of their time on entering data, employees can dedicate more time to verifying information and handling cases requiring professional expertise. 5.5 Support for data control before declaration Combining AI with checking and validation steps creates an additional layer of control before data is used for subsequent declaration steps. This is a critical factor for import-export enterprise, where data must be thoroughly checked before official declaration. 6. What Declaration Creation Methods Does EasyCus Offer Besides AI? AI document reading is one of the data entry methods on EasyCus, but not the only one. In practice, enterprise may have various data sources. Sometimes data resides directly on documents, but in other cases, enterprise already have data available as files or need to enter it directly into the system. Therefore, EasyCus supports three main methods: 6.1 Excel/TXT/XML Import Enterprise can import data from Excel, TXT, or XML formats when data is already available. This method helps leverage existing data and avoids re-entering information that has been prepared in advance. 6.2 Manual entry with validation In cases where data needs to be entered directly, users can perform manual data entry on EasyCus. Data is checked against validation rules integrated into the system, helping users control information during the entry process. 6.3 AI document reading and extraction When input data resides in documents such as invoices, packing lists, or related documents, users can leverage AI to assist with information extraction. These three methods help EasyCus address various data processing scenarios: AI is suitable for data that needs to be extracted from documents. Excel/TXT/XML Import is suitable for data already available in file formats. Manual entry is suitable for cases requiring direct data entry or adjustment on the system. As a result, enterprise are not limited to a single data entry method but can choose the approach that best fits their data sources and current operational workflows. With EasyCus, AI is not implemented as an isolated feature but is integrated into the overall data processing workflow, combining file imports, manual entry, and validation. This provides the foundation for enterprise to gradually transition from manual data entry processes to a declaration workflow with higher levels of automation and data control. 7. Frequently Asked Questions (FAQ) Who developed EasyCus? EasyCus is developed directly by Paracel Technology Solutions, specializing in ERP (Odoo) implementation solutions and building AI/automation products tailored to the actual operational needs of the enterprise. How does EasyCus AI read and extract document data? The system receives document files in PDF or scanned image formats (invoices, packing lists, bills of lading, etc.), then AI analyzes and populates the data into corresponding fields on the customs declaration. Thanks to the control step right from the original documents, errors are detected before the declaration is created, rather than having to be fixed afterwards. What happens if the AI reads or extracts incorrectly? EasyCus features a data preview step before generating the declaration, allowing users to cross-check directly with the original documents and make adjustments if necessary before confirmation. This is the key difference compared to systems that only check for discrepancies after declaration submission. Besides AI, are there other ways to create declarations in EasyCus? Yes. Enterprises can import data from Excel/TXT/XML, or enter it manually with strict business validation. Does EasyCus require software installation? No. EasyCus is a web-based platform that works across multiple operating systems without complex installation. Does EasyCus offer a free trial? Contact the EasyCus team directly for consulting on a trial package suitable for your enterprise's scale and declaration needs.

10/02/2026 · 10 min read

MARKETING SOFTWARE: TOP 11 MARKETING MANAGEMENT TOOLS

Marketing increasingly operates across multiple channels: websites, email, social media, SMS, events, and direct customer touchpoints. When each activity uses a separate tool, data becomes fragmented, making it difficult for the enterprise to track the entire customer journey and accurately evaluate the effectiveness of each campaign. That is why marketing software increasingly plays a vital role in data management, marketing automation, and connecting Marketing with Sales. However, not every enterprise needs the exact same system. Some tools focus on email, some platforms specialize in SEO or website analytics, while others have the capability to manage multiple marketing activities on a single platform. This article compiles 11 popular marketing software options , while analyzing the criteria enterprises should consider before making a choice. 1. What is Marketing Software? Marketing software consists of tools that support enterprises in planning, implementation, automation, and measurement of marketing activities. Depending on the purpose of use, the software may focus on a specific operation such as email marketing, SEO, social media management, advertising, or data analytics. Additionally, there are platforms that integrate multiple marketing functions, CRM, and sales within the same system. Marketing software is typically used to: Manage and segment customer data. Implement Email Marketing and SMS Marketing. Build Marketing Automation scenarios. Manage and track social media activities. Organize events and customer surveys. Track customer behavior and engagement levels. Measure campaign effectiveness. Connect Marketing data with CRM and Sales. The key point lies not in the number of features, but in the ability to connect data across activities. When Marketing and Sales work together on a unified data source, the enterprise can better track a lead from when it is generated and nurtured until it converts into an opportunity or customer. 2. Why Do Enterprises Need Marketing Software? As marketing operations scale, managing via spreadsheets or multiple standalone tools begins to reveal limitations. A campaign might use Facebook for outreach, landing pages to capture leads, email for nurturing, and CRM for sales intake. If data between systems is not connected, it is difficult for marketing to know which leads have been handled by sales, and difficult for sales to have the full interaction history to continue consulting. The right marketing software can help the enterprise: Centralized data management: Instead of customer data residing separately in emails, Excel files, advertising tools, and CRM, the enterprise can build a single centralized data source to support segmentation and nurturing. Reduce manual operations: Repetitive tasks such as sending emails, SMS, updating statuses, or follow-ups can be automated based on established conditions and behaviors. Track campaign performance: Enterprises can track metrics such as sends, email opens, clicks, engagements, leads, and conversion metrics depending on the tools used. Connect Marketing and Sales: Marketing data is more valuable when connected with CRM and sales. This allows the enterprise to view campaigns not just at the engagement level, but also in terms of the ability to generate and nurture sales opportunities. 3. Top 11 Popular Marketing Software Solutions For Enterprises 3.1. Odoo Marketing - An integrated marketing platform within the ERP ecosystem If your enterprise is looking for marketing software that not only serves email sending or social media management but also needs to connect Marketing with CRM, Sales, Website, and other activities, Odoo Marketing is a noteworthy choice. Odoo provides multiple Marketing applications within the same ecosystem, including Email Marketing, Marketing Automation, Social Marketing, Events, and Surveys. Marketing Automation allows enterprises to segment audiences, build multi-step workflows, and trigger actions based on customer time or behavior. Key features of Odoo Marketing: Email Marketing: Enterprises can design emails using a drag-and-drop interface, segment recipients, and track metrics such as open rate, click-through rate, bounce rate, leads, and campaign-related revenue. Marketing Automation: Enables the creation of automated workflows based on conditions, time, or behavior. For example, enterprises can set up different nurturing sequences depending on whether customers open emails, click, or respond. Social Marketing: Odoo supports managing social media accounts, scheduling content, tracking engagement, and in some cases generating leads or opportunities from social interactions. Events: Manage event activities and set up attendee communication content according to specific timelines. Odoo Events supports communication channels such as email, SMS, social posts, and WhatsApp depending on system configuration. Surveys: Collect feedback and analyze survey results, which can then be utilized for subsequent activities. The value of Odoo lies in its ability to connect Marketing with other applications in the system. Marketing Automation can connect with CRM to nurture leads and support lead management within the sales funnel. This is suitable for enterprises experiencing the issue of "having many marketing tools but disjointed data." At Paracel Technology Solutions , Odoo Marketing is implemented based on the actual processes and data of each enterprise. The team can survey the current status, identify areas that need automation, and configure the system according to operational needs. Instead of merely deploying individual standalone marketing tools, Paracel focuses on connecting Marketing with CRM, Sales, and related data, helping enterprises establish a more unified foundation for managing and measuring marketing activities. 3.2. Google Analytics – Website and Application Data Analytics Google Analytics is suitable for enterprises that need to track how users interact with websites or applications. The tool focuses on data and user behavior analysis, helping Marketing evaluate traffic sources, engagement, and conversions. Target audience: enterprises with websites, landing pages, or applications that need a data analytics platform. Note: Google Analytics is not a Marketing Automation or CRM system. Enterprises typically need to combine it with other tools to manage and nurture customers. 3.3. Google Search Console – Organic Search Performance Tracking Google Search Console is a useful tool for SEO activities, especially in tracking website visibility on Google. Enterprises can use it to monitor search performance, queries driving users to the website, and indexing-related issues. Target audience: SEO and Content Marketing team. Key takeaway: the tool focuses on organic search data and does not replace platforms that manage all marketing operations. 3.4. Bizfly – Multi-channel Marketing Automation solutions Bizfly provides an ecosystem of tools for marketing and customer care, focusing on data collection, customer segmentation, and marketing automation across multiple channels. Notable features: Email Marketing: build and execute email campaigns for each customer segment. SMS Marketing: send messages to customers based on campaigns or nurturing scenarios. Marketing Automation: set up automated scenarios based on customer behavior and information. Customer Data: collect and manage customer data for segmentation and nurturing. Customer Segmentation: group customers by characteristics, behavior, or engagement level. Omnichannel: support the implementation of marketing activities across multiple touchpoints. Reporting: track and evaluate the effectiveness of marketing activities. Target audience: Vietnamese enterprises needing omni-channel marketing implementation, especially Email, SMS, Automation, and customer care 3.5. Mailchimp – Email Marketing and Automation Mailchimp is a platform focusing on Email Marketing, supporting enterprises in building mailing lists, creating email campaigns, and implementing automation activities. Target audience: enterprises needing a specialized tool for Email Marketing and email-based customer care. Key consideration: if an enterprise needs to simultaneously manage CRM, Sales, inventory, accounting, or other operational processes, integration capabilities with the current system must be evaluated. 3.6. HubSpot – CRM and Marketing Automation HubSpot combines CRM with numerous functions serving Marketing, Sales, and Customer Service. The platform suits enterprises aiming to manage the customer journey on a relatively comprehensive system, especially in Marketing and Sales models with clear lead nurturing processes. Target audience: B2B enterprises, SaaS, and models with relatively complex Marketing – Sales processes. 3.7. Brevo – Email, SMS, and Marketing Automation Brevo focuses on direct customer communication activities such as email, SMS, and automation. This is a suitable choice for enterprises needing to implement customer care and interaction campaigns across multiple messaging formats. Target audience: enterprises focusing on email, SMS, and customer care campaigns. 3.8. Semrush – SEO and Content Marketing Semrush is a widely used platform for SEO and search engine marketing research. Feature sets typically serve keyword research, competitor analysis, ranking tracking, and content planning support. Target audience: SEO, Content, and Digital Marketing teams needing in-depth search data. Key takeaway: Semrush focuses on SEO and Marketing Intelligence rather than managing the entire customer journey. 3.9. Hotjar – User Behavior Analytics on Website Hotjar focuses on helping enterprises understand how users interact with their website. Feature sets such as heatmaps, session recordings, funnels, and surveys can support Marketing and Product teams in identifying areas where users interact the most or drop off during their journey. Target audience: enterprises with websites or landing pages looking to optimize user experience and conversion rates. 3.10. Klaviyo – Customer Data & Marketing Automation Klaviyo is a platform combining customer data, email marketing, SMS, and marketing automation, enabling enterprises to build campaigns based on customer behavior and data. Notable features: Customer Segmentation: segment customers based on information and behavior. Email & SMS Marketing: implementation of direct communication campaigns with customers. Behavior-based Automation: trigger workflows based on customer actions. Personalization: personalize content according to individual customer data. Customer Analytics: track behavior and campaign effectiveness. A/B Testing: test content variations and campaigns. E-commerce integration: connect purchase data to build tailored customer journeys. Target audience: e-commerce enterprises, retailers, and D2C brands looking to leverage customer data for personalized marketing. 3.11. Hootsuite – Social Media Management and Scheduling Hootsuite is a platform that helps enterprise manage multiple social media accounts on a single system, ideal for marketing teams that need to maintain social media activities across multiple channels. Common use cases for Hootsuite include: Scheduling and managing content across multiple social networks. Monitoring activities and engagement across channels. Managing content centrally instead of logging into individual platforms separately. Tracking and analyzing social media performance. Collaborating among marketing team members. Target audience: enterprise with multiple social media channels that need centralized management of posting schedules, content, and performance. Key takeaway: Hootsuite focuses primarily on social media management. Enterprise will still need other tools if they want to manage CRM, email marketing, marketing automation, or the entire customer journey. Note: This is not an absolute quality ranking. Each tool solves a different set of challenges; the right choice depends on the goals, scale, and current data systems of the enterprise. 4. How Does Odoo Marketing Differ From Standalone Marketing Software? One of the common bottlenecks when enterprises use multiple marketing tools is that data is scattered across different channels and activities. Each tool performs well for a specific task, but when looking at the entire customer journey, enterprises have to connect data manually: Website → Lead capture Email → Customer nurturing Social Media → Engagement CRM → Sales receipt and processing Excel → Data aggregation and reporting With Odoo Marketing, marketing activities can be connected with CRM, Sales, and Website within a single ecosystem. Customer data can be used for segmentation, workflow building, and lead nurturing automation, while marketing activities remain linked to the sales process. This is especially worth considering for enterprises that do not just want to run isolated campaigns, but want to build a marketing system where data flows seamlessly from attraction, engagement, and nurturing to conversion. 5. Criteria for Choosing Marketing Software for Enterprises Marketing software should not be chosen based on the number of features alone. Enterprises should evaluate at least 6 factors: Marketing Goals: Does the enterprise need to solve challenges in Email Marketing, SEO, Social Media, Automation, CRM, or managing the entire customer journey? Data Centralization Level: Where is customer data located? Can current tools connect with each other? Automation Capabilities: Identify repetitive tasks that can be automated, such as customer segmentation, messaging, follow-ups, or data updates. Integration Capabilities: The software must connect with your website, CRM, Sales, advertising platforms, or other enterprise systems currently in use. Measurability: Enterprises need to define key metrics before selecting a tool: engagement, leads, conversions, revenue, or ROI. Scalability: A tool that fits the current stage may not be suitable as the enterprise grows. Therefore, future scalability in terms of data, users, channels, and processes must be considered. 6. When Should an Enterprise Use an Integrated Marketing System? A specialized marketing software may be a reasonable choice when the enterprise only needs to solve a specific need. However, as the enterprise grows to include multiple departments, various marketing channels, and larger customer datasets, relying on too many standalone tools can create extra management costs and data synchronization issues. Enterprises should consider an integrated platform when: Marketing and Sales are using separate data. Employees have to re-enter the same information across multiple systems. It is difficult to track customers from Marketing to Sales. Campaigns are deployed across multiple channels but reporting is fragmented. The enterprise wants to build Marketing Automation. Management needs centralized data to evaluate Marketing effectiveness. 7. Paracel Implements Odoo Marketing for Enterprises At Paracel, the implementation of Odoo Marketing does not start by enabling all available features. The implementation process begins with understanding how the enterprise currently attracts, manages, and nurtures customers: where data resides, what channels Marketing is using, how Sales receives leads, and which tasks are still being handled manually. 8. Conclusion An effective marketing software does more than just help enterprises send emails, post content, or run automation. Its greater value lies in the ability to connect data, automate processes, and create a unified view of the customer. If your enterprise is struggling with fragmented marketing data across multiple tools, Paracel can help assess your current state and consult on a suitable Odoo implementation roadmap.

09/30/2026 · 12 min read

HOW TO CHOOSE THE RIGHT ODOO PARTNERS FOR YOUR ERP IMPLEMENTATION

Choosing an ERP platform is only one part of a successful digital transformation. The team responsible for implementing and adapting that platform can have an equally significant impact on whether the system actually fits your business. Many companies spend months researching ERP platforms, comparing features, and evaluating costs, but dedicate far less time to assessing their Odoo partners. This can become a costly gap. An ERP system may offer powerful capabilities, but its value ultimately depends on how well it is configured, integrated, adopted, and aligned with the way your business operates. Choosing the right Odoo partners is therefore not simply about finding a company that can install software. It means choosing a team that can understand your operations, translate business requirements into practical solutions, and support the system as your business grows. Why Do Odoo Partners Matter? ERP implementation is not simply a technical project. It involves processes, data, people, and often significant changes to how different departments work together. A suitable Odoo partner should understand more than the platform itself. They should be able to assess: How does your business operate today? Which processes are creating bottlenecks? Where is your business data currently stored? Which departments need to change or collaborate differently? What should the system support as the business grows? This is why successful ERP implementation starts with understanding the business problem before configuring the system. The right partner can help bridge the gap between what Odoo can do and what your business actually needs. 5 Criteria for Choosing the Right Odoo Partners 1. Odoo Platform Expertise One of the first things to evaluate is how deeply the partner understands Odoo. A team that works extensively within the Odoo ecosystem can build experience across different implementation scenarios, industries, integrations, and business requirements. This allows them to understand not only the platform's capabilities, but also where standard functionality is sufficient and where additional configuration or customization may be required. Technical knowledge also matters when unexpected requirements emerge during implementation. Look beyond whether a partner can “implement Odoo.” Examine what types of Odoo projects they have delivered, which business problems they have solved, and how they approach customization and integration. The goal is not to customize everything. It is to make the right decisions between standard Odoo functionality, configuration, integration, and custom development. 2. Experience in Your Industry ERP processes are rarely identical across industries. A manufacturing company may require support for bills of materials, production planning, inventory control, traceability, and maintenance. A retail business may place greater emphasis on point of sale, purchasing, inventory, customer management, and multi-store operations. Industry experience allows an Odoo partner to understand these requirements faster and ask more relevant questions during the discovery stage. More importantly, a partner familiar with your business model may already understand common operational challenges, reducing the learning curve within your project. When evaluating Odoo partners , look for experience that is relevant to your business model. 3. The Team That Will Actually Deliver the Project The people presented during a sales presentation may not be the same people who work on your project every day. Before signing a contract, businesses should clearly understand: Who will analyze business requirements? Who will lead solution consulting? Who will configure and develop the system? Who will manage data migration and integrations? Who will support the business after Go-live? This matters because implementation quality depends heavily on the capabilities of the team actually working on the project. A team that understands both the industry and the Odoo platform can reduce gaps in requirements analysis, avoid unnecessary customization, and respond more effectively to operational issues. For this reason, evaluate the delivery team behind the project, not only the company profile or sales presentation. 4. A Methodology That Fits Your Business There is no single Odoo implementation methodology that works for every organization. The right approach depends on factors such as business size, process complexity, data readiness, internal resources, and the organization's ability to manage change. Some businesses may benefit from a phased implementation, starting with critical processes before expanding to additional modules. Others may require a more integrated rollout to ensure that processes and data remain connected across departments. A strong implementation roadmap should define more than a target Go-live date. It should clarify: Project scope Implementation phases Priority processes Data preparation requirements Responsibilities of both parties Key milestones and acceptance criteria The methodology should reflect the organization's actual readiness rather than forcing every project into the same implementation model. 5. Post-Go-live Support and Long-term Partnership Go-live is not the end of an ERP project. It is the point at which the system begins operating in the real business environment. After launch, companies may still need user training, process adjustments, data corrections, troubleshooting, integrations, or additional modules as their requirements evolve. This makes post-Go-live support an important part of evaluating Odoo partners. What Should You Evaluate Before Choosing Odoo Partners? A company profile or sales presentation rarely provides the full picture of an implementation partner’s capabilities. Before signing a contract, businesses should evaluate the partner through relevant project experience, implementation methodology, delivery team, and post-Go-live support. Evaluate Relevant Project Experience The quality of experience matters more than the number of projects listed in a portfolio. Look for experience with businesses that share similar characteristics, such as industry, operational processes, number of users or branches, and integration requirements. Relevant case studies can provide a clearer view of how the partner has handled real business challenges, what was implemented, and what outcomes were achieved. Understand the Implementation Methodology A professional Odoo partner should be able to clearly explain how the implementation will be structured, from discovery and requirements analysis to configuration, data migration, testing, training, and Go-live. Key areas to clarify include project scope, implementation phases, data preparation, requirements prioritization, responsibilities, and change management. This helps determine whether the proposed roadmap is realistic and aligned with the organization's readiness. Know the Team Behind the Project The team presented during the sales process may not be the same team delivering the project. Businesses should have clear visibility into who will lead the project, who will analyze requirements, who will handle configuration and development, and who will provide ongoing support. Clear ownership and relevant expertise are essential, particularly when the project involves multiple functions such as consulting, development, data migration, and integration. Assess Post-Go-live Support ERP implementation does not end when the system goes live. Businesses may continue to require process adjustments, user support, troubleshooting, optimization, and additional development as operations evolve. The agreement should therefore clearly define the scope of support, response process, service commitments, maintenance responsibilities, and approach to future system expansion. It is also valuable to understand how the partner has handled challenging projects in the past. Their ability to identify issues, communicate transparently, manage changing requirements, and learn from implementation challenges can provide a more realistic view of their delivery capabilities. How Paracel Approaches Odoo Implementation At Paracel, Odoo implementation starts with understanding the client's current operations and business requirements. The process includes reviewing the existing workflows, identifying operational gaps, and translating business requirements into an appropriate Odoo solution. Based on these findings, the team configures and customizes Odoo according to the specific needs of each business. After Go-live, Paracel continues to support user training, system operation, optimization, and future expansion as business requirements evolve. The goal is not simply to deliver a system that works. It is to build an Odoo environment that fits the business today, remains scalable tomorrow, and provides a foundation for long-term growth. How to Identify the Right Odoo Partners for Your Business Choosing Odoo partners should go beyond comparing software features, implementation costs, or company profiles. Look at the factors that directly influence the project: Odoo expertise, relevant industry experience, the actual delivery team, implementation methodology, and long-term support capabilities. The right partner should be able to understand your operational challenges, translate them into practical solutions, and continue supporting the system as your business evolves. Considering Odoo for your business? Contact Paracel to assess your current operations, identify your priorities, and build an Odoo implementation roadmap that fits your business.

09/21/2026 · 7 min read

5 BOTTLENECKS IN ENTERPRISE OPERATIONS PROCESSES

As an enterprise grows, its operational processes increasingly become more complex. The growing volume of customers, orders, personnel, and data begins to expose the limitations of management methods that were once effective at a smaller scale. An extra Excel file, a standalone software for each department, or a few manual processing steps might not cause immediate problems. However, as these actions are repeated daily, they gradually turn into bottlenecks that cost time, hinder control, and slow down decision-making for the enterprise. So what are the most common issues affecting enterprise operations processes? 1. Fragmented data across multiple systems A single process often involves multiple departments. For example, an order from the sales department may need to pass through inventory, procurement, accounting, and logistics. If each department uses separate software or data files, information easily becomes fragmented: staff must send files, re-enter data, or cross-check information across multiple sources. This means that as the enterprise scales, data control becomes increasingly difficult. An effective enterprise operations process must ensure that data flows seamlessly across departments rather than being broken down or fragmented. 2. Too many repetitive manual tasks Data entry, reconciliation, report aggregation, order creation, and invoicing are routine tasks in enterprise operations. When these tasks are handled manually, personnel must spend significant time on repetitive actions instead of focusing on higher-value tasks. Notably, the cost of manual work rarely appears as a distinct line item on reports. Enterprises may fail to realize they are losing dozens or hundreds of hours each month entering and checking the exact same data. Where should automation begin? Enterprises should start with tasks that are: High frequency. Time-consuming for personnel. Involving many manual processing steps. Prone to data entry errors. Involving multiple departments. These are usually the areas that yield the clearest impact when improving enterprise operations processes. 3. Lack of updated data leading to delayed decisions Another common issue when enterprises use multiple disparate systems is that data is not updated consistently. Managers may need to know current revenue, inventory levels, order statuses, or customer receivables. But to get answers, staff must aggregate data from multiple sources. By the time a report is completed, actual conditions may have already changed. Therefore, building reports and dashboards tailored to each role is a crucial part of improving enterprise operational processes. Leadership needs a high-level overview. Sales managers need to track revenue, orders, and team performance. Warehouse teams need to monitor inventory, goods receipts and issues, and stock turnover. Accounting needs different data related to revenue, receivables, and cash flow. An effective management system delivers the right data to the right people, rather than dumping all data on everyone. 4. Difficulty scaling as the enterprise grows An operational method that suits a team of 10 may become hard to control when the team grows to 50 or 100. Similarly, software that works well for a single store will start showing limitations when expanding to multiple branches. This is why scalability must be considered right from the start when designing enterprise operations. The system needs the ability to: Add users and departments. Manage multiple branches. Expand with additional modules. Connect with external software. Support new processes. Integrate automation as needs arise. Instead of heavy upfront investments, the enterprise can build the system in phases and scale up as actual demand arises. 5. Compliance pressure making processes increasingly complex As the enterprise develops, requirements for accounting, taxes, invoices, access control, and data governance become more critical. Manual processes may no longer suffice when transaction volumes increase or operations expand. Therefore, digitizing enterprise operations is not just about reducing manual tasks, but also ensuring control and compliance. The system must help the enterprise clearly define: Who is authorized to perform each action? Where is the data recorded? What is the approval workflow? What information needs to be stored? What data sources should reports be generated from? When these steps are standardized on the system, the enterprise can reduce reliance on individual processing habits. How should the enterprise improve its operational processes? You can start with 4 steps: Step 1: Review current processes Identify all steps from when a request arises until the work is completed. Example: from receiving an order -> confirmation -> inventory check -> delivery -> invoicing -> accounting record. Step 2: Identify bottlenecks Find steps that create excessive wait times, duplicate data entry, errors, or heavy reliance on a single individual. Step 3: Prioritize high-impact issues The enterprise can prioritize issues that directly affect revenue, costs, customer experience, or control capabilities. Step 4: Digitize and automate step-by-step Once processes are clearly defined, the enterprise can choose the right system to centralize data, automate tasks, and build reports as needed. >> See More : WHY IS AN ENTERPRISE MANAGEMENT SOFTWARE A HARD-TO-DELAY INVESTMENT? Odoo Ecosystem – Scale and develop systems according to enterprise needs For enterprises looking to build a scalable management foundation, Odoo provides an ecosystem of interconnected modules. Enterprises can start with core business functions such as CRM, Sales, Inventory, Purchase, or Accounting, and then add more modules as needs arise. This phased approach helps enterprises focus their resources on the most critical bottlenecks rather than implementing too many features right from the start. At the same time, the integration capabilities of the Odoo ecosystem facilitate connection with other tools and systems as business operations become more complex. Paracel approaches ERP from operational bottlenecks An ERP system should not be implemented simply because an enterprise wants to digitalize following a trend; more importantly, the system must solve real operational problems. That is also how Paracel approaches ERP projects: starting by understanding the enterprise's current processes, data, and bottlenecks, and then determining the necessary modules and level of automation. Instead of implementing numerous features from the outset, enterprises can prioritize the issues with the greatest impact, build a suitable foundation, and expand in phases. Where are the bottlenecks in your enterprise's operational processes? Is data scattered? Are personnel spending too much time on manual tasks? Are reports not fast enough to support decision-making? Or is the current system beginning to hinder scalability? Paracel accompanies enterprises in assessing current conditions, identifying priority issues, and building Odoo solutions tailored to actual operational processes and long-term growth goals.

09/16/2026 · 6 min read

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