
Food Industry · Food Industry
Seafood Processing & Manufacturing Operating System
Operational Challenges
In many seafood processing plants, raw material sorting still relies on manual operations: workers weigh, estimate, and grade fish based on personal experience. This approach reveals three distinct limitations.
High Error Rates
Visual and experience-based sorting leads to weight discrepancies between batches, affecting output quality.
Fragmented Data
Production data is recorded manually and lacks real-time synchronization with the management system.
Difficult Scalability
Productivity depends on headcount, making it hard to scale without proportional cost increases.

Paracel Implementation Solutions
Paracel built a closed-loop operating system, directly connecting sorting hardware to the Odoo ERP core, helping the entire production line "speak the same data language" from reception to packaging.
Step | Specific Solution |
|---|---|
| Fish are dumped into containers and transferred to the conveyor system, standardizing the input for the entire production line. |
| Automatic grading (Marel) categorizes fish by weight in real-time, completely eliminating manual weighing operations. |
| The IoT Box collects weight data, classifies it, and synchronizes it directly to the ERP (Odoo) system in real-time. |
| A centralized control panel enables monitoring and coordinates packaging based on classified data. |
Why this approach is different
Instead of disjointed partial digitization, Paracel designs systems based on the principle of a single data stream: every figure generated on the production line flows straight into Odoo, bypassing intermediate data entry steps. As a result, plant managers can make decisions based on real-time data of the current minute, rather than end-of-shift summary reports.
Results after implementation
After putting the system into operation, the factory recorded marked improvements in speed and output, while reducing reliance on manual operations in the grading stage.
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