-31%stockouts on top SKUs
-14%excess inventory
+6%sales during festival weeks
About the client
A regional supermarket chain, based in Coimbatore, Tamil Nadu, operating in the retail, fmcg & distribution sector.
The problem
Store managers ordered stock based on experience. Festival spikes caused stockouts, while slow movers piled up in back rooms.
What we did
- Consolidated two years of POS data across stores
- Forecast model including festival calendar and promotions
- Suggested order quantities for top 1,500 SKUs
- Store manager review and override screen
- Weekly accuracy reporting
Outcome
- -31% stockouts on top SKUs
- -14% excess inventory
- +6% sales during festival weeks
Services involved
Machine Learning Development · AI Automation
Client identity withheld. This anonymised case study is an illustrative example of our approach; figures are indicative and results vary by business, market and budget.
