How Taylor Logistics Solved Inefficient, Labor-Intensive Inventory Management

The Challenge: Inefficient, Labor-Intensive Inventory Control ProcessesAs a full-service third-party logistics (3PL) provider, Taylor Logistics operates six warehouses across the Midwest, serving industries like food & beverage, retail, healthcare, cosmetics, automotive, and renewable energy. To maintain high inventory accuracy, Taylor’s team performed manual cycle counts, requiring significant time, labor, and resources. As they continued to scale, they needed a better way to optimize inventory control, improve visibility, and reduce operational inefficiencies. Taylor began searching for an AI-driven automation solution at the ProMat 2023 conference, recognizing that traditional cycle counting methods were no longer sustainable.
The Solution: Drone-Powered AI Inventory ManagementTaylor Logistics chose Gather AI, an AI-powered autonomous drone inventory solution that:
- Eliminates manual forklift-based counting
- Scans inventory locations 15x faster than traditional methods
- Analyzes barcodes, lot codes, expiration dates, and occupancy
- Provides real-time data without WiFi, GPS, or infrastructure changes
Unlike other solutions that only operate at night, Taylor preferred a system that could function during the day—allowing warehouse teams to immediately identify and resolve inventory discrepancies."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 LogisticsThe Results: Faster, Smarter, More Efficient WarehousesSince implementing Gather AI in October 2023, Taylor Logistics has achieved remarkable results:
- 87% Reduction in Cycle Counting Time
- Cycle count errors are resolved in a fraction of the time, allowing staff to focus on higher-value tasks.
- 99% Inventory Accuracy
- Inventory accuracy jumped from 97-98% to nearly 99%, minimizing stock discrepancies.
- 6 Minutes Saved Per Order → 2 Hours Saved Daily
- By eliminating unnecessary manual cycle counts, Taylor Logistics saves two hours per day across 20 orders.
- Reduction in Labor & Equipment Costs
- The cycle counting team was reduced from three employees to one, eliminating the need for expensive material handling equipment.
- Better Customer Experience & Market Differentiation
- Customers are actively requesting Gather AI technology for their accounts, recognizing its accuracy and efficiency benefits.
"If we have a customer coming on-site, the first thing I say to my team is ‘make sure that drone is running’ because the perception and security this gives our customers is extremely beneficial."— Grant Taylor, VP of Warehousing, Taylor LogisticsWhy Taylor Logistics Chose Gather AI Over Other Solutions
- Real-Time Issue Resolution
- Unlike systems that run at night, Gather AI operates during the day, allowing teams to fix errors instantly instead of waiting for the next cycle count.
- Fast ROI—Only 8 Months
- Taylor Logistics calculated an ROI of just 8 months, factoring in direct labor savings and increased picking speeds.
- Seamless Integration & Scalability
- Gather AI was deployed without warehouse layout changes or IT infrastructure updates.
- Cutting-Edge Innovation That Attracts Customers
- The AI-driven drone system differentiates Taylor from competitors, making them a more attractive 3PL partner.
"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
The Future of 3PL Warehousing is Here: For third-party logistics providers, the ability to automate inventory tracking, reduce labor dependency, and improve accuracy is no longer optional—it’s a competitive necessity.
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