A fast-moving consumer goods distributor was caught between two expensive problems at once: too much stock sitting in the warehouse, and not enough of the products customers actually wanted.
The challenge
Forecasting was done in spreadsheets, brand by brand, on gut feel and last month's numbers. Slow movers piled up and tied cash in inventory, while fast movers ran dry and lost sales. Across hundreds of SKUs, nobody could see the whole picture in time to act on it.
What we built
We built a demand-forecasting system across the full product range. It learns the patterns behind each SKU, including seasonality, promotions, and regional demand, and turns them into rolling forecasts that feed straight into purchasing and inventory decisions instead of sitting in a report.
The outcome
- Excess stock down 28%, freeing up working capital.
- Availability protected on fast-moving lines, so the cuts didn't cost sales.
- Forecasting shifted from monthly guesswork to a continuous, data-driven process.
"They stopped buying to feel safe and started buying to match real demand."
The distributor now plans inventory with confidence, and the cash that used to sit on shelves is back in the business.
Back to work