AutoScheduler.AI Wins Prestigious Tech Award
AUSTIN, Texas, Dec. 16, 2025 — AutoScheduler.AI, a pioneer in AI-driven warehouse management, has been honored with the 2025 Top Tech Startup Award from Food Logistics and Supply & Demand Chain Executive magazines. This recognition highlights the company’s unique Decision Agent technology, which enhances decision-making and efficiency in warehouse operations.
Keith Moore, the CEO of AutoScheduler.AI, expressed pride in this accolade. “While many AI solutions are emerging, our Warehouse Decision Agent is tailored specifically for warehouses. It streamlines daily operations, minimizes repetitive tasks, and boosts overall decision-making in the supply chain,” he shared.
This year, a significant number of award recipients (59%) identified as part of the AI sector, underscoring the growing importance of AI in logistics and supply chain management.
“The logistics industry is facing various challenges that impact efficiency, transparency, and cost. Startups are stepping in with innovative solutions that are changing the landscape of supply chains. This award aims to highlight those making a significant impact,” said Marina Mayer, editor-in-chief of Food Logistics and Supply & Demand Chain Executive.
AutoScheduler’s Warehouse Decision Agent seamlessly integrates with existing systems and improves supply chain value by optimizing labor, inventory, and scheduling in real-time. The technology continuously harmonizes data and adjusts operations as conditions change, enhancing service and reducing costs.
Looking ahead, two winners from the awards will present at the Manifest Las Vegas 2026 event, scheduled for February 9-11, 2026.
About AutoScheduler.AI
AutoScheduler.AI offers a unique AI-driven solution designed to improve warehouse efficiency. By integrating with existing management systems, it optimizes key operations in real-time, helping companies reduce costs and enhance service quality.
For more details about AutoScheduler.AI and its innovative solutions, visit their official site.
