Automate Pallet Inspection with Vision AI
Deploy AI that sees every pallet, flags damage, and keeps your operations moving.

Track Every Pallet, Instantly with Vision AI
Instant Insights, Smarter Decisions
Real-time visibility with vision AI at the edge in any facility, facilitating learning across teams.
One Platform, Full Adoption
Easy tools for every team from developers to business users - no ML team required.
Secure and Reliable, Always
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.
- Pallet count
- Pallet load verification
- Detect pallet damage
- Pallet tracking
- Pallet identification
- Empty pallet detection
“Achieving positive results using AI in a lab environment is easy, but the real challenge comes when scaling the solution across a network like ours without disrupting day-to-day operations. Our partnership with Roboflow is allowing us to do just that.”
Asim Ghanchi
AVP of Technology, BNSF
Talk to a Vision AI engineer who's shipped pallet tracking in live warehouses.
Struggling with lost pallets or manual tracking headaches? Want to see how logistics teams are using vision AI to count, track, and inspect pallets automatically? Bring us your toughest pallet problem and we'll map a working solution on the first call.
Ask us about:
- Solution architecture for dock-to-stock tracking, SSCC pallet license plates, and WMS, WCS, and ERP integration
- Live demo on your own dock, yard, and aisle footage, with loaded-vs-empty and damage detection
- Deployment options: dock-door and fixed cameras, forklift-mounted units, edge, on-prem, or VPC
- ROI modeling against lost and misplaced pallets, freight damage claims, manual scanning labor, and inventory shrink
Over 80,000 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