Case Study: Taylor Logistics achieves 99% inventory accuracy and 87% faster cycle counts with Gather AI

How Taylor Logistics Solved Inefficient, Labor-Intensive Inventory Management

Taylor Logistics, a third-party logistics provider, faced inefficient and labor-intensive inventory control processes across its six warehouses. The company's reliance on manual cycle counting required significant time and resources, creating operational bottlenecks as they scaled. Seeking a solution, Taylor Logistics discovered Gather AI at an industry conference and chose their AI-powered autonomous drone inventory system to address these challenges.

By implementing Gather AI's drone solution, Taylor Logistics achieved remarkable results, including an 87% reduction in cycle counting time and a jump to 99% inventory accuracy. The system allowed for real-time issue resolution and saved two hours per day in labor. The vendor's technology also reduced labor costs by cutting the counting team from three employees to one and has become a key differentiator, attracting new customers. Gather AI provided a fast return on investment and was deployed without any changes to the warehouse's infrastructure.

Taylor Logistics

Grant Taylor

VP of Warehousing