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GRINTA
Tanzania Stock Health Intelligence
2K+
Products analyzed
Business Problem
Inventory quantity alone could not distinguish healthy stock from excess, stockout risk, or products with no real demand.
What I Built
Built a demand-driven stock health model using sales percentiles, recent velocity, revenue, imported status, and SKU-level investigation.
Scale
2K+ products analyzed across a 150-day demand window with P10 to P100 segmentation.
Outcome
Supply and commercial teams can prioritize replenishment, excess inventory, and working-capital decisions based on demand rather than quantity alone.
Technology
Power BIDAXPythonSQL
Project Screenshots
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