Industry · Food & logistics
For food wholesale, fresh-food logistics and delivery businesses: from goods receipt through processing, label and route to the invoice, one chain without retyping, with one AI employee per role.
Servers in Germany · AI advises, a human decides · Transparency under the EU AI Act
Example scenario
A typical workflow as we set it up in this industry; not a specific customer project, no customer figures.
For us, AI in logistics starts at the scale. The employee puts the goods on it, the system takes the weight and prints the label with batch, best-before date and customer data. The scan posts the line item to the order and the route. No manual step in between.
Scale (protocol)Label printing (ZPL)ScannerInventory management system
Purchasing, production, logistics, sales and finance in one system, with batch and best-before date as required fields.
purchasing, production, logistics, sales, finance and drivers each get one that knows the tasks of the role and your rules. Management corrects centrally.
Capacity per vehicle, customer priority, time windows: stored as logic, not passed on by word of mouth.
in one place, with permissions per role: the foundation without which no automation runs securely.
What matters
Relevant stages
Stage 0 · Entry
Stage 1 · Core
Stage 2 · Industry
The chain of scale, label printer, scanner, route and order is closed: industrial scale connected via its protocol, label with batch and customer data from the system, the scan posts the line item.
Route planning with vehicle capacity and customer rules as stored logic.
One AI employee per role, from driver to management; management sees what the AI employees have learned and corrects it in one place.
Terms
Looking ahead
Refrigeration units and conveyor belts: if the cooling fails, the goods are lost; if the belt stops, the route stops. The next step for this industry is the signal from the equipment and the maintenance work order in the system before the cooling fails.
Predictive maintenance & industrial AIRole permissions by task. Operation on servers in Germany or on your infrastructure. Critical data runs offline and locally; we connect external language models only for non-critical data and only as processors under Art. 28 GDPR. AI identifies itself as AI; decisions on prices, approvals and staff are made by your employees. → AI transparency
Batch and best-before date enter the system at goods receipt as a required field, go onto the label from the system and are tied to the line item when scanned. The information required under Art. 18 of Regulation (EC) No 178/2002 – where a batch came from and where it went – is then a report at the click of a button, not a search through folders.
We connect industrial scales with a network or serial protocol, label printers with a standard printer language and wireless handheld scanners. Whether your device is among them we clarify in the first call, based on its type and interface.
How quickly a new driver is onboarded we can only tell you with a number from your company: we measure the onboarding time before the start and afterwards. What changes: the driver sees their route, their customers and those customers' rules in their AI employee and asks it instead of the boss.
Yes, a delivery business with five vehicles can also start small: the smallest pilot is one role or one chain, for example scale and label or route and invoicing. We work for companies with 5 to 250 employees.
Next step
On site or by video. In the first call we count together the manual steps that don't need to happen.
Reply within one working day.