Manhattan Associates Announces Cloud-Native WMS With Manhattan Active® Warehouse Management

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        #News(General) #Company [ via IoTGroup ]

        (NASDAQ: MANH), the recognized leader in warehouse management software, announced the new Manhattan Active® Warehouse Management solution, the world’s first cloud-native enterprise-class warehouse management system (WMS) that unifies every aspect of distribution and never needs upgrading.
        Crafted entirely from microservices and extraordinarily elastic, Manhattan Active WM ushers in a new level of speed, adaptability and ease of use within distribution management.
        “Manhattan Active WM is the result of a multi-year collaboration with our customers,” said Brian Kinsella, Manhattan’s senior vice president of Product Management.
        Manhattan Active WM includes completely redesigned user experiences.
        Following a mobile-first paradigm and brought to life with consumer-grade design, Manhattan Active WM’s Unified Control screens allow management team members to quickly visualize, diagnose and take action anywhere in their supply chain.
        For DC associates, the new WM MobileTM application provides a state-of-the-art, app-based experience for all transactional work.
        Composed of microservices, Manhattan Active WM is truly cloud-native.
        To speed time to market and reduce training, Manhattan has also incorporated new configuration wizards to help businesses of all sizes and complexities streamline the implementation process.
        “Manhattan Active Warehouse Management gives us a distribution solution that adapts as quickly as our customers’ needs, with frequent and easy access to the latest technologies and new features,” said Miles Tedder, chief operating officer of Pet Supplies Plus.
        With Manhattan Active WM, all functions, including labor management and slotting optimization, have been streamlined and re-engineered to create a single, unified distribution application.
        Manhattan Active Warehouse Management uses machine learning to orchestrate DC automation and the human workforce to optimize the execution of work within the four walls of the DC.

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