AutoScheduler.AI Mentioned in the 2024 Gartner® Technology Trends Transforming Warehousing - Part 2: Handling Volatility & Complexity report

AUSTIN, Texas, May 03, 2024 (GLOBE NEWSWIRE) -- AutoScheduler.AI, an innovative Warehouse Orchestration Platform and WMS accelerator, is mentioned in a Gartner research report, Technology Trends Transforming Warehousing – Part 2: Handling Volatility & Complexity. AutoScheduler is listed as a Sample Vendor in the Warehouse Resource Planning and Optimization technology trend.

“We are very excited to be recognized in this report for warehouse resource planning and optimization,” says Keith Moore, CEO of AutoScheduler.AI. “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. We will be introducing a new functionality for centralized warehouse orchestration at the upcoming 2024 Gartner Supply Chain Symposium/Xpo™, Orlando.”

“Gartner has seen some leading WMS vendors develop elements of these capabilities within their WMSs and as additional optimizing applications bundled with new WMS deals. However, there is also an emerging class of specialist optimization vendors. These can be a suitable fit to support the optimization of operations for organizations not in a WMS acquisition cycle, or for those who are relatively happy with their legacy core WMS solutions and purely wish to focus on the opportunities for optimization.”

According to the report, “the specialist vendors vary somewhat in their approach and delivery, but features may include:

• Decision automation: Sensing the conditions of a company’s warehouse in real time to help automate labor, inventory, demand and equipment decisions.
• Scenario optimization: Use of a set of advanced algorithms, a balanced mix of prescriptive and predictive analytics, AI tools and ML to play forward scenarios in time segments to make the optimal recommendations or auto rigger allocations and work releases directly to the relevant systems.
• Dynamic reprioritization: Taking feeds from WMS, YMS, order management or other relevant systems to dynamically reprioritize tasks. These can include pulling data related to orders, waves, time and attendance, equipment utilization, dock appointment scheduling, costs and cycle times to direct and redirect work activities.”
  
  
  
  

Gartner clients can access the full report here.

AutoScheduler will demonstrate AutoPilot Central at the 2024 Gartner Supply Chain Symposium/Xpo™ in Booth 218.

Gartner, Technology Trends Transforming Warehousing — Part 2: Handling Volatility & Complexity, Simon Tunstall, Dwight Klappich, Rishabh Narang, 10 April, 2024.

GARTNER and SUPPLY CHAIN SYMPOSIUM/XPO are registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About the Gartner Supply Chain Symposium/Xpo
CSCOs and supply chain leaders are continuously confronted with increasingly complex challenges and are expected to outperform and overdeliver. Top supply chain organizations navigate through the turbulence by solving present-day issues and positioning themselves for long-term success. The Gartner Supply Chain Symposium/Xpo™ 2024 conference offers pragmatic advice and future-focused insight for supply chains to deliver now and in the future. Network with 3,000+ peers and vet new technologies at our Exhibit Showcase.

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 and 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 [email protected].

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