Pensa’s automated perception system rapidly scans and automatically senses shelf conditions, seeing each individual product from many angles and perspectives. It learns product placement and gets more accurate over time, recognizing across store locations and evolving with ongoing packaging changes.
Powerful AI System Provides Real-time Shelf Visibility and Learns as it Goes
A Digital Understanding of Shelf Conditions
The system visually “learns” as a person would, gaining a full “digital understanding” of each product and what should be where on the shelf. The system can quickly identify the many errors missed by human visual inspection.
Seen From Multiple Angles for High Accuracy
Single device substitutes for up to 100 fixed cameras focused on each item on every shelf.
A Common View of
Shelf Conditions with Analytics
Pensa flags and reports on stockouts and predicts low stock. Real-time actionable data is collected faster, more frequently, with greater accuracy and at a lower cost. It can compare shelf performance of a major brand against a competitor for stockouts, share of shelf and other shelf conditions impacting revenue.
Web-Based Dashboard and KPIs
Standardized Data Analytics
Enterprise Data Feed
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