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AutoScheduler.ai Mentioned in 2021 Gartner Hype Cycle Report for Supply Chain Execution Technologies
[July 15, 2021]

AutoScheduler.ai Mentioned in 2021 Gartner Hype Cycle Report for Supply Chain Execution Technologies


AUSTIN, Texas, July 15, 2021 (GLOBE NEWSWIRE) -- AutoScheduler.ai, an innovative Warehouse Management System (WMS) accelerator, announces the company is recognized in the Gartner Hype Cycle for Supply Chain Execution Technologies 2021. AutoScheduler appears in the category under Warehouse Resource Optimization, which focuses on constraint-based planning and optimization to work activities within a warehouse or warehouse campus. In this section, Gartner mentions that the market penetration is 1 – 5% and benefits are High, which means that companies using this type of solution receive high value with game-changing improved processes, efficiencies, and productivity.

“Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities.” This Hype Cycle for Supply Chain Execution “covers technologies used to support logistics and fulfillment processes (for example, warehousing, transportation and global logistics).” AutoScheduler is listed as a sample vendor under the Warehouse Resource Optimization category, showing that Gartner analysts recommend that end-users reading this document look deeper into using this technology.

The Gartner report says, “The growing need for digitally interconnected, intelligent supply chain networks warrants innovations that can deliver transformational outcomes. Supply chain leaders should use this Hype Cycle to understand the maturity, viability, and riskiness of evolving supply chain execution technologies.”

“AutoScheduler has proven to reduce labor costs, save picking times, reduce the use of pallets, balanc inventory, ensure customer demand is met, and improve on-time, in-full order fulfillment within global organizations,” said Keith Moore, Chief Product Officer, AutoScheduler.ai. “We are pleased that Gartner recognizes the value of Warehouse Resource Optimization. AutoScheduler can provide even-greater productivity gains and greater efficiencies in the warehouse as warehouse operations become more and more complex.”



AutoScheduler sits on top of existing WMS or visibility platforms to accelerate productivity. It is meant to accelerate the current WMS capabilities by using Intelligent Warehouse Orchestration. Using capacity-constrained schedules, AutoScheduler will help solve problems such as poor OTIF, dock schedule conflicts, inventory shortages, inefficient workforce allocation, and the struggle to meet carrier appointment times.

Gartner clients can access the full report here: https://www.gartner.com/document/4003278?ref=solrResearch&refval=293301437&toggle=1         


Gartner, ‘Hype Cycle for Supply Chain Execution Technologies, 2021’, Dwight Klappich, July 06, 2021

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 AutoScheduler.ai
AutoScheduler.ai is a supply chain analytics company focused on distribution center optimization that accelerates existing WMS capabilities with Intelligent Warehouse Orchestration. By seamlessly integrating with existing WMS and ERP systems, AutoScheduler’s powerful yet intuitive platform helps streamline operations across your facility. It provides dynamic dock scheduling, level loading labor, balancing inventory overflow, proactively cross-docking, eliminating redundant workforce allocation, and more. We add prescriptive analytics and drive efficiencies for companies like P&G and others. For more information, contact www.autoscheduler.ai

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