← All Case Studies

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

Figures, names, and other identifying details shown in these dashboard screenshots have been randomized for privacy.