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The challenge
The client managed ordering for 40+ locations using spreadsheets and intuition. Popular items sold out while slow movers tied up cash in overstock. Leadership wanted a data-driven approach without a multi-year platform project.
What we did
We ran a two-week discovery to prioritize the highest-impact SKUs, then built an incremental forecasting pipeline:
- Consolidated point-of-sale and inventory data into a single warehouse.
- Established a baseline forecast and layered in seasonality and promotions.
- Delivered store-level order recommendations to managers through a simple dashboard.
The outcome
Within one quarter, the pilot regions saw a 28% reduction in stockouts and 15% less excess inventory. Just as importantly, store managers trusted the recommendations because the process was transparent and explainable.
Why it worked
We focused on a narrow, measurable problem first, shipped quickly, and expanded only after the approach proved itself — the same pattern we apply to every engagement.