The Business
A 12-store clothing retail chain across Madhya Pradesh, including tier-2 and tier-3 cities. The founder had built the business over 14 years and ran it on instinct backed by tally reports.
Top-line was healthy at ~₹4Cr/month, but EBITDA had been flat for two years despite opening three new stores in that window.
The Problem
Reports from accounting were arriving 21 days after month-close. By the time the owner saw that a store had had a bad month, two more weeks of bad months had already happened.
There was no view of contribution margin by store — only revenue. Two locations with low rent looked healthy on revenue but were eating cost on staffing and inventory shrinkage.
What We Did
Built per-store scorecards covering revenue per square foot, contribution margin, footfall conversion, and inventory turn — refreshed weekly from POS exports.
Layered region heatmaps and product-mix analysis so the founder could see which categories actually worked in which towns.
The Result
Stores quietly losing money
3
of 12
Monthly leakage per store
₹2L
Stores closed / restructured
2
paid back in 4 months
Reporting lag
7 days
previously: 21 days
Closed 1 store. Replaced manager at another. Restructured a third. All decisions paid back in 4 months.
What Changed for the Owner
"I was emotional about closing that store. The numbers made it obvious. We were funding it with the good stores."
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