Seeteria AI uses existing warehouse cameras to cut idle dock time
Seeteria’s AI platform flags idle dock doors that sit for as long as 7 minutes, helping warehouses recover lost capacity without new hardware. Small disruptions of 7 to 15 minutes each can compound into hours of missed capacity per shift, according to the founder.
The platform connects to a facility’s existing camera network over Wi‑Fi, analyzes activity in real time, and sends color‑coded alerts — green, yellow, red — to supervisors’ mobile or tablet apps showing the status of each dock door and zone. Floor supervisors receive live push alerts, warehouse managers get a post‑shift summary of bottlenecks, and executives view a financial‑impact report tied to detention fees and missed throughput targets. The system deliberately avoids identifying people, detecting only objects such as forklifts, pallets, dock doors and congestion patterns to protect worker privacy and reduce surveillance anxiety.
“Our goal all the time is to get the warehouse more capacity from the resources that they are already paying for,” Sarit Tamir, founder and CEO of Seeteria said.
“The system is completely blind to people,” Sarit Tamir, founder and CEO of Seeteria said.
Seeteria recently completed a stint at the CoLab accelerator in Chattanooga, Tennessee, after a connection made at the Home Delivery World conference in Nashville. The company announced that a new pilot launch in Chattanooga is imminent. Its name derives from the Greek goddess Soteria, but the spelling was changed from “SO” to “SEE” to reflect its computer vision focus.
What we know
7‑minute idle dock door incident
12‑minute forklift reroute around blocked aisle
15‑minute staging area congestion
Supervisors walk roughly 8 miles per shift
Minimum threshold of at least eight active dock doors for pilot