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AutoScheduler.AI Mentioned in the Gartner® Hype Cycle™ for Supply Chain Execution Technologies, 2023

Austin, TX – August 8, 2023 – AutoScheduler.AI, an innovative Warehouse Management System (WMS) accelerator, announces the company is recognized in the Gartner Hype Cycle for Supply Chain Execution Technologies, 2023[1]. AutoScheduler.AI appears in the category under Warehouse Resource Planning and Optimization. According to Gartner, “Warehouse resource planning and optimization applies the concepts of forward-looking, constraint-based planning and optimization to work activities within a warehouse, distribution center or warehouse campus, leveraging advanced analytics, artificial intelligence (AI) or machine learning technologies.”
“We are very excited to be recognized for the third time in this report for warehouse resource planning and optimization,” says Keith Moore, CEO of AutoScheduler.AI. “We believe, AutoScheduler’s advanced AI technology visualizes all operations at a distribution center or warehouse and optimizes labor, equipment, touches, and inventory to create supply chain value and drive efficiencies.”
Gartner Hype Cycles is a graphical representation of a technologies lifecycle that provides end-users insights about which technologies to invest in to save time and money. AutoScheduler.AI is recognized as a Sample Vendor under Warehouse Resource Planning and Optimization technology.
AutoScheduler sits on top of existing WMS to accelerate its capabilities using Intelligent Warehouse Orchestration. Using capacity-constrained schedules, AutoScheduler drives higher degrees of warehouse labor utilization, reduces labor costs, and increases order fulfillment rates.
[1] Gartner, ‘Hype Cycle for Supply Chain Execution Technologies, 2023,’ Dwight Klappich, 13 July 2023
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About AutoScheduler.AI:
AutoScheduler.AI creates dynamic warehouse plans directly injected into the WMS to optimize activities based on constraints, ensuring sites run optimally at peak performance. Our intuitive AI and Machine Learning platform, developed with P&G and implemented at P&G, Unilever, General Mills, and others, streamlines operations by seamlessly integrating with existing WMS & ERP. We provide dynamic dock scheduling, labor level-loading, inventory balancing, proactive cross-docking, redundant workforce elimination, and more. Clients benefit from prescriptive analytics to drive efficiencies and create value in the supply chain. For more information, email info@autoscheduler.ai.