30%
A grocery distributor supplying hundreds of kirana stores across Rajasthan knew AI could help but couldn't say where to start. We mapped how the business actually runs, scored where AI would pay off, and shipped the top win: demand forecasting that cut stockouts.
Kickoff to plan
Initiatives ranked by ROI
Stockouts (first win)
Payback on phase one
Demand swung hard with festivals, weddings, and the harvest season, and fast-moving staples and perishables sold out at some retailers while spoiling in other warehouses. Leadership knew AI could help, but the budget was stuck behind a single question — 'where do we even start?'
Over three weeks we walked their distribution centres and reviewed the sales and stock-movement data they already had, scored every opportunity on value versus effort, and built a 12-month plan with a return estimate for each move.
We sequenced the roadmap into phases and started with the highest-value, lowest-risk win — a regional demand forecast wired into their existing inventory system, so each warehouse sees exactly what to stock and reroute ahead of festival and seasonal spikes instead of guessing.
Leadership finally had one ranked list everyone agreed on. The first initiative cut stockouts 30% across the network and paid for itself in nine months — funding the next phase out of its own savings.
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