Demand forecasting and simulation-based inventory planning
A Databricks inventory planner that unifies forecasts, POs, and stock positions—and lets planners simulate purchase impacts before they commit.
25%
Reduction in excess inventory
Challenge
The company managed inventory across a complex distribution network with fluctuating demand and costly overstock or stockouts. Planning lacked unified visibility and relied on manual, experience-based analysis.
What we did
FocusKPI built a Databricks-based Inventory Planner that unified demand forecasts, open and planned purchase orders, and current inventory into a single weekly view. Planners could simulate projected impacts of purchase decisions before committing—improving visibility and reducing inventory risk.
Results
Planners moved from reactive decisions to structured, simulation-driven planning with greater confidence. Decision accuracy improved, overstock and stockouts decreased, and the program expanded to a unified dashboard with broader adoption.
“For the first time, we could see the projected impact of a purchase decision before we made it—that changes how you think about risk.”
Why it worked
Advanced analytics were paired with practical implementation—so planners could act inside one weekly operating rhythm instead of another disconnected model.
Discuss a similar engagement
We typically start with a scoped proof of concept before production deployment.