CUSTOMER STORY
Taylor Logistics
Taylor Logistics Built a Competitive Advantage on Continuous Inventory Visibility with Gather AI
99%
Inventory accuracy
87%
Reduction in Cycle Counting
8 mth
ROI
Challenge
Growing a 3PL operation across six Midwest warehouses meant handling more SKUs, more customers, and more complexity without proportional headcount growth. Taylor Logistics relied on manual cycle counts to maintain inventory accuracy, a process that consumed significant labor, time, and floor resources. As the business scaled, manual counting could not keep pace with the need for accurate, continuously available ground truth during live warehouse operations.
Solution
Gather AI deployed its platform across Taylor's existing warehouse footprint without infrastructure changes or IT overhauls, integrating directly with their existing workflows. Gather AI Vision captures inventory data autonomously during active warehouse hours, replacing static overnight snapshots with continuous visibility. Gather AI Workflows surfaces discrepancies in real time so Taylor's team can resolve issues before they affect customer orders.
Results
Taylor Logistics reduced cycle counting labor from three employees to one and recaptured roughly two hours of productive capacity per shift by eliminating unnecessary manual counts across daily orders. Inventory accuracy improved from a 97-98% baseline to 99%, reducing stock discrepancies and downstream fulfillment errors. The platform reached full return on investment in eight months, and Taylor's customers now proactively request Gather AI deployment on their accounts, turning the platform into a direct sales advantage.
"With Gather AI, we saw we would be able to identify issues in real-time and have someone go address the discrepancy."
— Grant Taylor, VP of Warehousing, Taylor Logistics
"Having this technology shows that we're evolving and keeping up with the marketplace. That's huge for our success."
— Grant Taylor, VP of Warehousing, Taylor Logistics
