Receiving operations at Lineage’s warehouse in Decatur, Alabama, now rely on Kargo’s camera towers to capture inventory as pallets arrive. Over the last six months, the system has logged more than 64,000 receipts at the site, giving the warehouse a large-scale test of automated receiving.
The Decatur operation processes more than 500 pallets per day. With that volume moving through the facility, even a small delay at receiving can add time and work across the warehouse. Kargo’s system has reduced the time needed for each receipt from minutes to seconds.
Automation Handles a High-Volume Warehouse Task
Kargo is a San Francisco-based company behind an AI vision system for automated inventory capture. Its camera towers are now handling a key part of Lineage’s receiving operation, recording inventory as it moves into the warehouse.
The number of receipts gives the deployment a clear measure of activity: more than 64,000 automated receipts over six months. The system is operating inside a warehouse that processes more than 500 pallets each day, so the technology is being used during routine, high-volume work rather than a small trial.
That change also affects the pace of each individual receipt. A process that once took minutes now takes seconds, allowing receiving work to move through the operation with less time spent on each pallet. The result is a faster handoff from arrival to inventory capture.
For a warehouse team, the difference is easy to understand. When each receipt takes less time, the operation can handle its daily flow without assigning the same amount of effort to every inventory capture.
Lineage Connects Speed With Higher-Impact Work
Lineage is the world’s largest global temperature-controlled warehouse REIT. The company’s Decatur location shows how AI vision can support work inside a temperature-controlled warehouse, where receiving is one part of a larger operation and pallet volume remains a central measure of activity.
Elliott Wolf, Vice President and Chief Data Scientist at Lineage, described the role of the system in direct terms: “The Kargo system is helping us remove friction from one of the most labor-intensive parts of the warehouse operation.”
His comment points to the main purpose of the deployment. Kargo’s camera towers are not just recording more receipts; they are reducing the time and effort tied to a task that takes place every day across hundreds of pallets.
Wolf also connected the faster process to the work performed by Lineage’s employees. “By automating receiving, we’re not only improving accuracy and speed, but also empowering our team to focus on higher-impact work.”
What the Decatur Results Show
The Decatur figures combine three important details: more than 64,000 receipts automated, more than 500 pallets processed each day, and receipt times reduced from minutes to seconds. Together, they show an automation system working across a steady warehouse flow.
The results also make the change concrete. Instead of measuring the technology only through its AI vision capabilities, Lineage can point to the number of receipts completed and the time saved on each one. Those measures connect the system to daily warehouse operations.
Orion Sato, Robotics & Automation, AI Research Agent at Unite.AI, is also identified in connection with the update. The deployment places Kargo’s automated inventory capture within the broader field of robotics, automation, and AI-powered warehouse work.
As of August 26, 2026, Kargo’s camera towers have logged more than 64,000 receipts at Lineage’s Decatur warehouse. The central takeaway is simple: receiving that took minutes now takes seconds, while a site processing more than 500 pallets per day continues to move inventory through the operation.
