Sector — Retail & distribution

AI in retail, where volume counts.

Inventory, after-sales service, promotions: we map your high-volume flows and score each use case to separate what deserves deployment from what is merely fashionable.

Typically for a retailer or distributor of 50 to 500 people.

EXAMPLE · fictional data
order · example
OrderPickingDelivery

01 — Value zones

Where the diagnostic typically finds value in retail.

01

Inventory & replenishment

Forecasting and stock-out alerts: AI prepares replenishment proposals; the purchasing decision stays with your teams.

02

After-sales service

Inbound requests, returns and claims: a high-volume flow where AI sorts and proposes, leaving the sensitive reply to a human.

03

Promotions

Preparing and tracking commercial campaigns: sequence, control and measure, without confusing correlation with real effect.

04

Catalogue & content

Product sheets and descriptions: produce and harmonise at scale, with explicit editorial control.

01

Start from the real flow

We follow a request end to end—after-sales, replenishment or a campaign—to see where time is actually lost before discussing any tool.

EXAMPLE · fictional data
after-sales · example
RequestTriageReply

02

One score per use case

Impact, feasibility, risk and full cost: visible criteria that make every decision challengeable, and prevent buying a generic solution by reflex.

EXAMPLE · fictional data
scoring · example

Impact86

Feasibility72

Risk41

03

A verdict that holds

Launch, test under control or wait: one verdict per use case, with a 90-day plan. Volume is no reason to automate blindly.

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.