Real cases

AI applied to warehousing and transport logistics

Logistics operators that combine multi-client warehousing with their own transport fleet live with a constant challenge: goods from very different sectors — food, medical, packaging, textile — sharing the same warehouses, with paperwork, scales and fleets that today run in silos.

See the 12 cases, one by one ↓

Shipping lead with a tablet next to a validation board showing order, picking, scale, camera and dossier all validated, while a pallet weighed at 482 kg is loaded into a trailer at the dock

IRIS is the category of industrial AI systems that solves this without replacing anyone: Connect captures what's lost today (picking sheets, delivery notes, customer alerts, isolated GPS platforms), Edge visually validates what's critical at the dock (damaged pallets, ADR segregation), and Agents organizes the evidence so an audit never catches anyone off guard. iLEAN is the system that implements it.

This page gathers the 12 canonical use cases landed on a warehousing and transport operator, grouped by architecture piece.

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