Arvist
Vision-AI platform that automates warehouse operations to reduce errors, delays, and inefficiencies
The problem
Global supply chains lose over $50B each year to warehouse inefficiencies, much of it at the loading dock, one of the supply chain's most critical yet overlooked areas. Docks still rely heavily on manual processes like visual inspections, shipment checks, and safety compliance. These tasks are repetitive, labour-intensive, and highly prone to human error, especially as supply chains become faster, more complex, and more cost-sensitive. For operators, the resulting quality-control issues typically erode 2 to 10% of annual revenue through errors, claims, and delays. Traditional warehouse automation tends to be expensive, slow, and disruptive to install, leaving most operators without a workable fix.
The solution
Arvist, based in Chicago, has developed an autonomous warehouse monitoring platform, an AI-powered vision system that acts as a "warehouse brain," transforming dock operations without costly retrofits or lengthy rollouts. Built for third-party logistics providers and warehouse operators, the platform integrates seamlessly with existing infrastructure and automates critical workflows in real time, from damage detection and shipment accuracy to compliance management, while reducing errors, labour costs, and compliance risks. With Arvist, operators achieve faster, safer, and more reliable dock operations, freeing staff for higher-value tasks and unlocking measurable efficiency gains across the supply chain.
