Warehouse Digital Twin AI
Turn the cameras you already have into a live map of the building: where inventory sits, which locations are full or empty, where forklifts and people are, and which dock doors are busy, updated in real time.

Warehouse Digital Twin AI for the Toughest Distribution Centers, 3PLs, and Manufacturing Warehouses
Deploy Anywhere, Run Everywhere
Run a warehouse digital twin on ceiling, aisle, dock, and forklift-mounted cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every warehouse team can adopt, from site leaders to inventory control, 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.
- Live Location Occupancy: Full, Partial & Empty
- Forklift & Vehicle Positions on the Map
- Dock Door & Staging Lane Status
- People in Aisles & Pedestrian Zones
- Pallet & Inventory Location Updates
- Congestion, Dwell & Travel Heatmaps
“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 logistics.
Bring us your toughest warehouse digital twin problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits your WMS, WCS, and facility layout
- A live demo on your own warehouse camera footage
- Deployment options: edge, on-prem, air-gapped, VPC, or on the camera network and forklift cameras your site already runs
- ROI modeling against search time for lost pallets, cycle count labor, dock congestion, and forklift near misses
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