The challenge
Multi-store retailers sit on rich point-of-sale data but often see it days late, scattered across systems. Store managers were deciding stock levels and promotions without a shared, current view of what was selling where.
What we built
We built a central analytics platform that brings store sales together in near real time, applies machine-learning models to inventory and customer behaviour, and surfaces the results as dashboards each role can act on.
Real-time sales visibility
A single dashboard of sales across stores, categories and time periods, refreshed continuously instead of in end-of-week reports.
Inventory optimisation
Models that highlight slow movers and likely stock-outs so replenishment can be planned before shelves go empty.
Customer behaviour analysis
Basket and segment analysis to understand what customers buy together and how promotions change behaviour.