Package Counting AI
Count every parcel, case, bag, and tote on conveyors, pallets, and dock doors in real time, even when they touch, overlap, or come in mixed sizes, and reconcile the count against the order, ASN, or manifest.

Package Counting AI for the Toughest Parcel Hub, Packaging Line, and Distribution Center Flows
Deploy Anywhere, Run Everywhere
Run package counting on conveyor, palletizer, and dock door cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every operations team can adopt, from shift leads and packaging engineers, 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.
- Parcel & Case Counting on Conveyors
- Touching, Overlapping & Mixed-Size Packages
- Cases Per Pallet & Layer Counts
- Inbound & Outbound Dock Counts
- Throughput Per Hour by Line & Sorter
- Count vs. Order, ASN & Manifest
“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 parcel, packaging, and logistics.
Bring us your toughest package counting problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your WMS, WCS, and ASN accuracy requirements
- A live demo on your own conveyor, pallet, or dock footage
- Deployment options: edge, on-prem, air-gapped, VPC, or on the cameras already above your conveyors and doors
- ROI modeling against short-ship claims, chargebacks, manual count labor, and inventory write-offs
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