Pallet Counting AI
Count pallets on the floor, cases per dock door, and packages per hour, and get an alarm the moment a count crosses the line you set.

Pallet Counting AI Across Floor and Staging Counts, Dock Door Throughput, and Threshold Alarms
Deploy Anywhere, Run Everywhere
Run pallet counting on the edge, on-prem, in your VPC, or via API, wherever your dock and floor need it.
One Platform, Full Adoption
Tools every warehouse and shipping team can adopt, no separate ML team required to ship and own counting models.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.
- Pallets on the Floor & in Staging Lanes
- Pallets and Cases per Dock Door
- Packages per Hour at Unload and Load Doors
- Cases per Pallet & Partial Pallet Detection
- Dwell Time & Throughput Trends
- Threshold Alarms & Copy-to-Every-Door Setup
“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 in warehousing and parcel operations.
Bring us your toughest pallet counting or package counting problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits OSHA dock safety, ISO 9001, and customer SLA reporting
- A live demo on your own dock and floor camera footage
- Deployment options: edge, on-prem, air-gapped, VPC, existing Verkada or Rhombus camera feeds, and copying one door's setup to every door in the building
- ROI modeling against dock labor, detention and demurrage, missed SLAs, blocked-aisle incidents, and downstream rework
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