Shelf Monitoring AI
See out-of-stocks, low stock, misplaced products, facing counts, and missing or wrong price tags across every aisle.
Shelf Monitoring AI for the Toughest Grocery, Convenience, and Big-Box Aisles
Deploy Anywhere, Run Everywhere
Run shelf monitoring on fixed shelf cameras, ceiling cameras, robots, and associate phones on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every retail and CPG team can adopt, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.
- Out-of-Stock & Empty Facing Detection
- Low Stock & Replenishment Alerts
- Misplaced & Wrong-Slot Products
- Facing Counts & Share of Shelf
- Price Tag Presence & Match
- Planogram Compliance by Aisle
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped in retail and CPG.
Bring us your toughest shelf monitoring problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your store camera, robot, or associate app setup and your GDPR and CCPA policies
- A live demo on your own shelf images
- Deployment options: edge, on-prem, VPC, in-store gateway, or cloud for robot and phone captures
- ROI modeling against lost sales from out-of-stocks, labor on manual shelf audits, and CPG compliance programs
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
Vision AI is transforming businesses
Customers across the board are solving complex challenges and driving meaningful impact.
- Automotive customer
$10 million
Saved by automatically detecting defects on the production line
- Logistics & freight company
90%
Less time spent manually tracking shipping inventory
- Building materials supplier
60%
Lower customer return rate with improved product quality
Keep Every Shelf Full and Correct, from the First Facing to the Endcap
Bring real-time intelligence to every aisle with Roboflow Vision AI for shelf monitoring. Built for grocers, convenience chains, and CPG brands where an empty facing is a lost sale, and a manual shelf walk finds it hours after the shopper walked away.
Availability and replenishment:
- Detect empty facings and low stock on every shelf from fixed or robot cameras with a model trained on your own store images.
- Send a replenishment task to the associate responsible for that aisle, with the image attached.
- Measure on-shelf availability by store, aisle, category, and hour to find the gaps between backroom and shelf.
Placement, facings, and planogram:
- Identify products and detect misplaced items in the wrong slot or aisle.
- Count facings and share of shelf per brand to measure planogram compliance and CPG agreements.
- Check endcaps and displays are set as planned for a promotion.
Prices and store execution:
- Detect missing, damaged, or misplaced price tags and read the price and product code to match the shelf.
- Score store execution across a chain so field teams visit the stores that need them most.
- Keep views on the shelf, not on shoppers, so monitoring fits privacy policies.
Bring intelligence to every shelf today. Stop empty facings and wrong prices from becoming lost sales and lost trust.
Frequently asked questions
What is shelf monitoring with Vision AI?
Shelf monitoring with Vision AI uses images from fixed shelf cameras, ceiling cameras, robots, or associate phones and a trained computer vision model to detect out-of-stocks and low stock, misplaced products, facing counts, and missing or wrong price tags, then route the fix to the right associate. It powers planogram compliance and shares methods with inventory cycle counting in the back room.
Can Vision AI recognize thousands of SKUs on a shelf?
Out-of-stock detection works without knowing the SKU, since an empty facing looks empty. Identifying every product is harder, because assortments are large and packaging changes often, so the usual approach combines a detector for products and gaps with a classifier or embedding search against your product images, updated as new items arrive. Price tag reads close the loop by matching the tag to the product above it.
Does shelf monitoring support GDPR and CCPA?
Shelf monitoring supports data protection expectations under GDPR (the EU General Data Protection Regulation) and CCPA (the California Consumer Privacy Act) by aiming cameras at shelves, processing images at the edge where needed, and discarding or blurring people who pass through the frame. No shopper identification is involved in the use case.
Roboflow serves as the detection engine, and your privacy and store operations teams own camera placement, signage, and retention policies.
Can it integrate with our task management, inventory, and planogram systems?
Yes. Roboflow sends gap, placement, and price events over REST or MQTT, or writes them to a database, so they create tasks in store task tools such as Zebra Workcloud and Reflexis, update inventory systems such as SAP and Oracle Retail, and compare to planograms in Blue Yonder or Symphony. CPG field teams can receive the same data for the stores they cover.