How Lactalis Uses AI to Simplify Field Audits and Build Localized Retail Strategies

A tailor-made AI deployment built around Lactalis’ needs

Innovation is a key part of Lactalis’ transformation strategy. By integrating image recognition into its field processes, Lactalis Lait is opening a new chapter in the way its sales force collects and uses in-store information.

“It’s a new page in Lactel’s history, with the implementation of AI in the company and in the sales force.”

Benjamin Forest Project Manager, Lactalis Lait

The deployment was designed around the teams who would actually use the solution. EasyPicky worked closely with Lactalis to identify field needs, define the relevant workflows and adapt the application to the company’s objectives rather than imposing a one-size-fits-all process.

From manual shelf audits to a faster field workflow

Before EasyPicky, field audits required sales representatives to check products and facings manually. With the EasyPicky app, the workflow changes: reps can film the shelf, let image recognition structure the audit and review the resulting information directly on their tablet.

“I used to do my field audits manually, product by product. Now I just film the shelf, and I have everything on my tablet.”

Camille Gamet Sales Representative, Lactalis Lait

Automating repetitive audit steps also changes where sales reps can focus their attention. Instead of spending the visit collecting information product by product, they can dedicate more time to customer relationships, in-store execution and the commercial actions that can move the business forward.

Turning store-level visibility into a localized retail strategy

The value of the project does not stop at the shelf. Information collected in store can be consolidated in the EasyPicky Platform, giving sales managers a more detailed view of execution across stores.

“We’re going to have a full shelf vision from A to Z. It will allow us to adapt macro-objectives by sector or by region.”

Gaël Tanguy Sales Force Development Manager, Lactalis Lait

This level of granularity helps management move beyond a single national view. Objectives and action plans can be adapted by sector or region according to the realities observed in store. Sales reps can then execute against clearer priorities and recommendations at local level.

It also creates a more consistent flow of information between the field and headquarters. Instead of relying on fragmented, manually collected inputs, teams can work from structured shelf data and use customizable views to understand local challenges more quickly.

One shared view, from the shelf to headquarters

The Lactalis deployment illustrates the two sides of retail execution transformation. In store, sales reps gain a simpler way to capture and understand shelf reality. At management level, teams gain the store-level visibility needed to refine priorities and guide execution more locally.

EasyPicky can capture and analyze shelf information even without a network connection; once connectivity is available, structured data can be synchronized with the platform. The result is a continuous link between what happens in the aisle and the decisions made by sales management.