AI for Retail
Retail teams we've worked with
Where AI helps
Turn store, shelf and product data into insight that merchandising and operations teams can act on.
Understand shelves, products and in-store activity from existing cameras and images.
Understand behaviour and segments with consistent, privacy-conscious data.
Forecasts that account for seasonality, promotions and local context.
Agents that handle routine exceptions across orders, stock and suppliers.
Example scenarios
Detect gaps and compliance issues from images and route tasks to store teams.
Surface events that need attention in real time, with people confirming before anyone acts.
Combine forecasts with live stock signals to prioritise what to restock.
Cameras and images turned into useful signals: what is on the shelf, what happened in the shop, which item has a defect.
Scattered business data turned into forecasts, early warnings and dashboards your team will actually use.
An assistant that doesn't just answer. It looks things up, takes the next step in your systems and checks the result, with your team approving anything important.
Idea → Architecture → Prototype → Production → Scale
Tell us what you're trying to build, test, automate or improve. We'll tell you honestly where we can make a real difference, and where we can't.
