Grower, carrier, buying station and processor work on the same batch data. A retailer complaint traces back to the specific delivery and field in minutes, not after a week of going through dispatch notes.
The grower has one, the buying station assigns its own, the plant another. Linking them takes three phone calls and a comparison of dispatch notes with weighbridge tickets.
The chain reports pesticide residues over the limit in a batch. You search for which field and which grower the goods came from, and in the meantime the chain holds all deliveries.
At harvest peak growers call in, a queue of tractors and trailers stands at the dock, and the lab does not know what arrives in an hour.
The scope depends on where you sit in the chain: a producer group, a buying station, a plant or all of them at once.
Three years ago features like these needed a data science team. Today language models read emails, documents and photos, and we build them into the system we make for you. Below is what makes sense in this solution. A person approves, AI prepares.
A photo of a weighbridge ticket, a dispatch note or a quality certificate from an external lab becomes batch data for the buying station staff to confirm.
Example a photo of a weighbridge ticket for 24,380 kg net → a receipt with weight, grower and batch number, one click to confirm
An unusual weight, moisture out of line with other deliveries from that field, a delivery with no notification. The alert goes to the manager, the decision is theirs.
Example a third delivery from the same field in one day against a declaration of two → an alert before intake
The quality controller or the sales rep asks, the answer comes from the batch history, not from a binder.
Example "where did the apples from the Kowalski orchard picked on 12 October go?" → three buyers, quantities, dispatch note numbers
From grower declarations, history and harvest progress the model prepares a weekly intake plan. The planner corrects what they know better.
Example declarations from 40 growers and harvest pace → a weekly intake plan with peak days
Weighbridges, ERP and the lab stay. We connect them to one batch history and add the exchange with retail chains that is missing today.
We start with one raw material or one group of growers. The next ones follow once the first flow runs and people trust it.
You have the diagnosis, we build the solution. Web applications, B2B portals and automations for companies without a large IT department. Today a system can read emails and documents, suggest decisions and answer customers on its own, so we build that in from the first version, not as an add-on a year later.
We agree scope, price and dates upfront, show progress every week, and the code and data stay yours.
You tell us how you number batches today and what happens when a complaint comes in, we tell you which flow to start with and how long it takes.
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