Sector — Logistics & transport

AI in logistics, where exceptions cost the most.

Shipment tracking, exception handling, documentation: we map your real flows and score each use case to separate what makes the chain more reliable from what merely adds a layer of risk.

Typically for a logistics operator or supply chain of 50 to 500 people.

EXAMPLE · fictional data
shipment · example
OrderShipmentDelivery

01 — Value zones

Where the diagnostic typically finds value in logistics.

01

Flow tracking

Statuses, milestones and alerts: consolidate scattered information and flag delays earlier, without confusing useful alerts with permanent noise.

02

Exception handling

Delays, disputes and anomalies: high-stakes ground where AI prepares the file and proposes, leaving the sensitive decision to a human.

03

Documentation

Waybills, customs papers and proof of delivery: find, check and complete documents faster, with a verifiable trail.

04

Carrier & client relations

Status replies and notifications: inform quickly and accurately on the state of a shipment, while keeping control of disputed cases.

01

The real flow, before the tool

We follow a shipment end to end, exceptions included, to see where time and errors actually concentrate. Every claim in the report traces back to an observation.

EXAMPLE · fictional data
flow · example
PickupTransitDelivery

02

One score per use case

Impact, feasibility, risk and full cost: visible criteria that make every decision challengeable and prevent buying another software brick by reflex.

EXAMPLE · fictional data
scoring · example

Impact86

Feasibility72

Risk41

03

Decide link by link

One verdict per use case, with an owner and a stop condition. On a chain, fragile automation propagates its errors: better an assumed “not yet”.

EXAMPLE · fictional data
verdict · example
Launch01Controlled pilot02Not yet03

Confidential · EN / FR · on request

Start with the verdict.

Show us the work slowing your teams down. We will tell you plainly whether it deserves an AI solution.