ASICS Cuts Inventory Discovery Time 60% With Autonomous Drones
Get tomorrow's supply chain signal
Daily supply-chain brief. Free, unsubscribe anytime.
The signal
ASICS has implemented Corvus Robotics autonomous inventory drones at its Byhalia, Mississippi distribution center, achieving a 60% reduction in the time required to locate misplaced products. The system conducts seven nightly flights through high-risk storage areas, increasing counting frequency from twice annually to monthly while freeing up 200 hours of labor monthly for higher-value tasks like root cause analysis and exception management.
The deployment directly addresses a critical operational challenge: under the previous semi-annual counting cycle, misplaced inventory could remain hidden for six months, resulting in customer order cancellations and forced liquidation of excess stock at discounts. By detecting discrepancies within weeks rather than months, ASICS now maintains higher inventory availability confidence, allowing the company to publish its full product feed to online marketplaces rather than holding back 12-15% of inventory as a safety buffer.
This case demonstrates how targeted automation in warehouse operations can unlock dual value streams: improved order fulfillment and revenue recovery. The technology also reduces energy consumption by decreasing lift equipment usage, presenting both operational and sustainability benefits that position drone-based inventory management as an emerging best practice in large-scale distribution operations.
Companies affected by this story:
Frequently Asked Questions
What This Means for Your Supply Chain
What if inventory accuracy requirements force 10% higher safety stock across all categories?
Simulate the operational and financial impact if ASICS must revert to withholding higher inventory buffers across distribution due to market pressures or failed drone deployments. Measure changes to carrying costs, warehouse capacity utilization, cash flow tied up in inventory, and fulfillment lead times.
Run this scenarioWhat if drone uptime drops to 85% and nightly flight frequency must decrease?
Model the scenario where mechanical or software issues reduce Corvus drone availability to 85%, forcing ASICS to cut nightly flights from seven to five per night. Calculate the impact on cycle count frequency, months to detect misplaced inventory, and whether the system can still support monthly reconciliation or reverts to quarterly cycles.
Run this scenarioWhat if other distribution centers adopt drones and reveal industry-wide inventory discrepancy rates?
Simulate a scenario where industry peers deploy similar drone systems and aggregate data reveals that ASICS's discrepancy rates are significantly higher than sector benchmarks. Model the downstream effects on supplier relationships, return policies, quality expectations, and potential cost-sharing discussions with partners.
Run this scenarioRelated Articles
AI and Drones Reshape North American Logistics in 2026
Aug 7, 2026
SKU Explosion Forces Beverage Distributors to Automate Warehouse Picking
Oct 30, 2026
RFID Drones Transform Warehouse Inventory: Verity, On, Maersk Pilot Success
Oct 27, 2026
Get the daily supply chain briefing
Top stories, Pulse score, and disruption alerts. No spam. Unsubscribe anytime.
