[ Retail ]
92%
detection accuracy
A mobile-first vision system that detects out-of-stock items, misplacements and price-tag errors.
01
Field teams audited shelves by hand with clipboards — slow, inconsistent and impossible to analyse.
02
We collected and labelled a custom dataset, trained detection models, and shipped an app that runs inference in the cloud and feeds a live analytics dashboard.
03
Audits are 6× faster and brands see shelf compliance across 1,100 stores in near real time.
92%
Detection accuracy
6×
Faster store audits
1,100
Stores covered
Have a similar problem?
We did this for Shelfsight in 14 weeks. In a free 30-minute audit we'll show you what the same approach could do for your business.
What we built
Models trained on the client's product catalogue.
Guided photo capture with quality checks.
Store, region and brand-level shelf health.
Tech stack
Tell us where you are today. We'll show you how we'd approach it — free, in 30 minutes.