The Challenge
Retailers walk a tightrope: too much inventory, and you're discounting to move product; too little, and you're losing sales. Our team was stuck in a cycle of stockouts and surplus, with frustrated store managers and missed revenue targets. I remember a store lead saying, 'It feels like we're always guessing.' The team wanted to get proactive, but with so many SKUs and shifting demand, it was tough.
Our Approach
We didn't want a black box—we wanted a partner. We built an inventory system that learned from sales, seasonality, and even local events. The tool forecasted demand in real time, flagged potential stockouts, and suggested optimal replenishment schedules. Store managers could see the logic, adjust recommendations, and even add local insights. The tool wasn't just a black box—it was a partner in decision-making.
The Implementation
We started with the most volatile product categories, running the tool in parallel with the old process. Training was hands-on, with real sales data and feedback from store teams. Integration with POS and supply chain systems was a challenge, but our team made it seamless. As the tool proved itself, we scaled up—one category, one region, one win at a time.
The Results
Stockouts dropped, surplus inventory shrank, and store managers felt more confident in their decisions, with many saying they finally felt in control of their shelves.
