One smartphone. One scan. Dozens of automated store tasks. Vusion Mobile turns every shelf visit into actionable data for field teams, HQ, and brands — with zero infrastructure.
Why this solution matters
Retailers face relentless pricing changes, tight labor budgets, and growing compliance demands. Manual processes can't keep pace — leading to pricing errors, empty shelves, and wasted products. McKinsey estimates operational inefficiencies account for up to 25% of lost store productivity.
Teams verify prices label by label. Discrepancies go unnoticed for days, generating margin losses and regulatory fines.
Stockouts are only identified when customers complain or during periodic counts. Lost revenue stays invisible.
Merchandisers still use paper forms or generic apps. Data is entered manually — with errors, delays, and zero AI value.
Headquarters receives blurry photos and Excel sheets. No real-time view of actual shelf conditions across stores.
Price, stock, planogram, promotions, assortment — each function has its own tool. Teams juggle 5 to 8 apps daily.
A full store visit takes hours. 80% of time is spent on collection, not corrective action.
How it works
Vusion Mobile combines on-device computer vision, 7 AI models, and cloud intelligence to transform a simple shelf photo into actionable insights.
Scan the shelf with a smartphone. Instant, smart, video or burst mode. Connected glasses also supported.
7 AI models run in parallel on the device: product detection, labels, OOS, 3D depth, price reading, promo classification.
An interactive realogram is generated: each product identified, matched to its label, price, and planogram position.
Gaps become prioritized alerts: price errors, OOS, low inventory, missing labels, promo issues. Sent to teams and HQ.
About
The people behind Vusion Mobile — building on-device AI and store execution tools for retailers worldwide.
Proven results
These are published results from retailers and brands deploying computer vision for shelf execution. Not projections — measured outcomes.