Store staff used paper clipboards for stock counts, leading to 12% inventory discrepancy.
We built a mobile inventory scanning app that uses the phone camera for barcode recognition, syncs counts in real time, and flags discrepancies immediately — replacing paper-based stock counts that took days and had 12% error rates.
Client
A retail chain with...
Timeline
10 weeks
Team
1 engineer
Industry
Retail
A retail chain conducted quarterly inventory counts using paper clipboards and manual data entry. The process took days per store, had significant error rates, and results were outdated by the time they were processed. Shrinkage was hard to detect because counts were too infrequent and inaccurate.
Built camera-based barcode scanning with ML-powered recognition for fast, accurate reads
Implemented real-time sync to central inventory management as items are counted
Created location-based counting workflows that guide staff through zones systematically
Added discrepancy flagging and resolution tracking so variances are investigated immediately
12→3%
Discrepancy Rate
4 hrs
Count Time per Store
Weekly
Count Frequency
10 wks
Delivered In
Inventory count time reduced from days to hours per store
Discrepancy rate dropped from 12% to under 3%
Counts can now be done weekly instead of quarterly
Shrinkage identified and addressed much faster
“Inventory counts used to shut down the store for two days. Now two people do it in half a day with their phones. We count weekly now and actually know what we have in stock. The shrinkage problem became obvious once we had accurate numbers.”
— Regional Manager, Retail Chain
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