Software for the fishing industry
Argentine fishing exports record volumes and, at the same time, loses profitability: down 38% with rising costs. The State has digitized its side (electronic reports, traceability, satellite monitoring), but inside the company the trip, the haul, the yield and the crew payout still live in Excel. And there is not a single technology or AI consultancy specialized in fishing. That is where we work.
The paradox: record exports and lost money
The fishing sector lives a documented contradiction, and it is the entry point of every conversation.
- Exports are at their second-best historic level, and shrimp recovered its price. The problem is not the sale.
- Profitability, on the other hand, collapsed. A hake trawler went from positive to negative margins: the cause is cost (fuel, spare parts, logistics, labor) and above all working capital.
- The State has already digitized its side of the counter: electronic fishing report, traceability module, electronic dispatch, satellite monitoring. The company reports to several systems that do not talk to each other.
- Inside the company, data is paper and Excel. An official survey of dozens of Chubut plants found no production management software in any of them. The trip, the haul, yield per batch and crew payout are all done by hand.
Where a fishing company loses money
- Margin is decided blind. Costs are debated precisely (stevedoring, fuel, labor) but decisions are made on aggregated, late information. Nobody knows the real cost per kilo per trip until the accountant closes.
- The export file is built by hand. The European Union catch certificate (CATCH, mandatory since January 2026) requires data split across satellite monitoring, the fishing report and the plant batch. Joining it by hand, per shipment, is hours and rejection risk.
- The crew payout is a minefield. The crew earns a percentage of production, with a complex calculation per role and per trip, regulated by collective agreement. It is at the center of the sector's most expensive labor conflict and it is solved in spreadsheets.
- The cold chain is not monitored, it is checked by hand. A temperature drift not caught in time compromises the goods, and the export audit asks for the logged evidence.
- Size grade sets the price and is graded by eye. Shrimp is paid by size grade (L1 to L4), and manual grading is variable and hard to measure batch by batch.
Our approach: small tickets, measurable results
With the sector's cash under pressure, we do not sell an 18-month ERP. We build scoped, fixed-price modules that pay for themselves with what they put in order:
- Automatic CATCH file. Consolidates satellite monitoring, fishing report and plant batch, and builds the catch certificate per shipment with no manual reconstruction. A market obligation with a passed deadline: the ideal first project.
- Cost and yield per trip, haul and batch. The dashboard that gives the owner the real cost per kilo and margin per operation. It is a business conversation, not a systems one.
- Auditable crew payout. Calculation per role, production and trip, with payouts both sides of the table can verify. The hardest product to copy and the one that ties the client most.
- MSC audit file and chain of custody. For companies in a certification cycle: batch segregation and auditable records, no spreadsheets.
- Cold chain monitoring. The cheapest entry project with the most visible ROI: sensors in rooms and tunnels, phone alerts and a logged curve for the audit.
Your operation defines the order: start with the module that concentrates the most cash or the most risk.
Five more solutions: sensors, cameras and AI on top of the operation
Every physical pain in the fishing chain (scattered data, the size grade, the cold, the cost, the port window) is also a data problem. These five solutions bring the technology layer the sector still lacks down to mid-size company scale, and each one is implemented as a scoped module, plant installation included: cameras, sensors and cabling are set up by our technical crew.
Batch traceability and automatic CATCH file
The European Union catch certificate requires, per shipment, IMO number, trip start date, fishing gear and precise catch location. That data lives split across satellite monitoring, the fishing report and the plant batch. The system joins the three sources and builds the file on its own, traced from the haul to the box.
Computer vision for grading and sizing
Shrimp price is set by size grade (L1 to L4), and grading today is manual and variable. A camera over the belt grades by size in real time, counts pieces per grade and separates what does not meet spec. Yield per grade stops being estimated: it is measured, batch by batch.
IoT monitoring of the cold chain
Temperature sensors in freezing tunnels and cold rooms, connected and continuously logged. If temperature drifts out of range, the alert reaches the phone before the goods are compromised. And the curve stays on record, which is the evidence the export audit asks for.
Yield and cost per trip, haul and batch
The sector debates margins precisely but decides on aggregated, late information. The system computes cost per kilo and real yield per trip, per haul and per batch: fuel, crew, stevedoring and processing charged where they happen. With costs rising, margin is defined inside, not in the sale price.
Satellite fleet monitoring and port window
In a port that operates few hours a day due to tides, coordinating the boats coming back with the plants waiting for raw material is pure sequencing. The system crosses the fleet's satellite position with the tidal window and builds the unloading order, so neither boat nor plant waits longer than needed.
What we automate for a fishing company
Custom software
CATCH file, batch traceability, crew payout and dashboards built around how your operation works.
See more →Financial order
Cost per kilo, margin per trip and projected cash, with costs charged where they happen.
See more →Staff attendance
Plant shifts, personnel files and crew share payout, with export for payroll.
See more →