Case Study: Taylor Logistics achieves 99% inventory accuracy with Gather AI

Taylor Logistics boosts inventory accuracy to 99% with Gather AI

Taylor Logistics, a third-party logistics operator, faced challenges scaling their operations across six Midwest warehouses. As they handled more SKUs and customers without increasing headcount, their reliance on manual cycle counts became a significant burden, consuming labor and failing to provide continuous, accurate inventory visibility during live operations. To address this, they turned to Gather AI.

Gather AI deployed its platform, which uses autonomous drones for inventory data capture, without requiring any infrastructure changes. This provided Taylor Logistics with continuous visibility and real-time discrepancy alerts. The results included an 87% reduction in cycle counting, an improvement to 99% inventory accuracy, and an ROI achieved in just eight months. The solution also became a direct sales advantage, as customers now proactively request Gather AI for their accounts.

Taylor Logistics