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Store-Wise Sales Intelligence in Under a Month, With the Data Model a Collections Agent Runs On
CLEINT :
Multi-Store Clothing Brand
Location :
India
60%
Faster order processing for walk-in customers
40%
Improvement in payment reconciliation accuracy
<4 Weeks
End-to-end deployment
Centralized
Sales and customer visibility across all store locations
Problem
Disconnected systems across multiple outlets left this fast-growing clothing retailer with scattered customer data, manual order tracking and no reliable view of payments. Pending and partial payments slipped through the cracks because chasing them depended on someone remembering; store-wise performance could only be reconstructed after the fact; and stock moved between stores on instinct rather than on sales data.
What we built
A sales management system that makes the store network legible in real time. An integrated CRM centralises customer data across outlets; order tracking updates status live as items move; a payment module automatically separates completed, pending and part-payments so every outstanding amount is a record with an age and an owner; and store-wise reporting dashboards surface sales and collection performance without anyone building a spreadsheet. Deployed in under four weeks on Bubble.io, chosen so the system could go live fast and evolve without a development queue. The data model is centralised and live, which is the precondition for an agent to act on it. Agent next: a collections agent that chases pending and part-payments on the right channel at the right time, and a replenishment agent that proposes store-level stock moves from live sales data.
Tech stack
"We were running multiple stores on gut feel and guesswork — payments slipped through, and we never had a clear picture across locations. Now everything's in one place, and we finally make decisions with real numbers."
Retail Brand Team
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