Reason #1 - Orchestrate Your Facility
Even if companies don’t like to admit it, there is a significant amount of wasted labor in warehouse operations due to poor coordination.
- Poor OTIF
- Dock schedule conflicts
- Inefficient workforce allocation
- Inventory shortages
- Unnecessary intra-campus moves
- Struggle to meet carrier appointment times
For Example: Because receiving and shipping are operating on a different cadence, eliminating work by
cross-docking inventory from inbounds to outbounds is totally missed. Or, if it happens, it happens by coincidence rather than by design. Because there are many different responsibilities, all with slightly different objectives, existing warehouse management systems (WMS) often struggle to orchestrate all activities.
In an ideal warehouse, everybody would work perfectly in concert to get inventory shipped on time and in full.
To make a complex process even more confusing, the simple rules built into the Warehouse Management
System used to orchestrate all activities often cause problems. Inventory may not be available when a
shipment is loaded. There may be too many shipments and not enough docks. Trailers may sit in the dock
because there isn’t the capacity to unload everything on the schedule. Or, a campus may have all of the right
inventory and capacity, but it is in the wrong building, and transfer shipments are required. Traditional WMS implementations don’t have the analytics to orchestrate all decisions that need to be juggled.
These challenges equate to millions of dollars in lost money every year at most facilities.
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. AutoScheduler's powerful yet intuitive platform helps streamline operations across your facility by seamlessly integrating with existing WMS and ERP systems. It provides dynamic dock scheduling, level loading labor, balancing inventory overflow, proactively cross-docking, eliminating redundant workforce allocation, and more. For more information, contact www.autoscheduler.ai. 