A Warehouse Operator

01.The Challenge

Stock counts were done manually with clipboards and barcode scanners that struggled with damaged or poorly-placed labels.

02.The Solution

Built a mobile app that uses OCR ( Optical Character Recognition) and barcode detection that lets staff scan entire shelves quickly, cross-checking against expected inventory. The build prioritized something Warehouse Operator's team could actually run and maintain day to day.

03.How It Went

1. 1Spent the first stretch getting access to Warehouse Operator's data and systems , and worth doing properly upfront.
2. 2Built Warehouse Operator's core system in stages, validating each piece against real data .
3. 3Integration took longer than the model itself for Warehouse Operator, mostly around getting the output into a format their existing tools could use.
4. 4Handed off to Warehouse Operator with documentation and a short walkthrough so their internal team could maintain and use it without needing ongoing support.

04.Results

• Cut inventory count time per aisle from 40 minutes to a few minutes
• Reduced count discrepancies from human transcription errors
• Rolled out across all warehouse locations
• Delivered to Warehouse Operator within the agreed 6 weeks with no major scope changes along the way