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AutoScheduler.AI Discusses Disjointed Tech on Supply Chain Now Podcast

AutoScheduler.AI, an innovative Warehouse Orchestration Platform and WMS accelerator, recently participated in a podcast on Supply Chain Now, the voice of supply chain. AutoScheduler CEO Keith Moore discussed how disjointed tech wreaks havoc on distribution with hosts Scott Luton and Jake Barr, who used AutoScheduler when he worked at P&G.

On the podcast “The Logistics Problem No One Talks About: How Disjointed Tech is Wreaking Havoc on Distribution,” AutoScheduler highlighted:

  • The real cost of scattered data and disconnected workflows;
    • Many companies build buffers to account for the disjointed information, resulting in excess inventory, additional labor, and underutilized automation. Adding more space and crew also adds unnecessary costs;
    • AutoScheduler improves the quality of work by eliminating the endless firefighting cycle of ensuring the right products arrive at the right place at the right time;
  • Why traditional WMS and ERP solutions aren’t enough anymore;
    • The traditional WMS is not designed to optimize a facility’s overall constrained flows. An ERP doesn’t plan in size buckets for less than a day, but most changes in the warehouse occur in minutes, not days;
  • How visibility and orchestration eliminate operational silos;
    • Step one is to have a single pane of glass showing all the ingested data from the siloed units so you can pull together the threads that hold the data together and show how they will impact each other. AutoScheduler allows companies to have all the data in one place by integrating the data across platforms, giving businesses a single view of information, which enhances decision-making;
    • Step two is predictivitybeing able to examinethe data, examine known boundaries and conditions inside your facility, and start to predict what will happen;
    • Step three is “prescriptivity”—or orchestration—where you make decisions to optimize future outcomes;
  • AI’s role in integrating, predicting, and optimizing distribution workflows;
    • It creates calm out of the chaos because you have taken the prescriptive steps to create a cadence of activities where the people running the operations know what to execute next without stopping and waiting;
  • What an intelligent, dynamic logistics platform looks like in action;
    • It continuously and dynamically runs and understands exactly how each site needs to operate;
    • It’s configurable so that when we model a site inside our platform, it is tuned to that site to understand how it operates and runs; and
    • Identifies where the bottlenecks are.

Listen to the podcast here.

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