Warehouse Optimization Engine
AutoScheduler.AI has introduced the Next-Generation Optimization Engine, a re-architected version of the company’s optimization engine.
AutoScheduler's original engine unifies plant schedules, inventory locations, and carrier workflows into a single execution plan, built around a predefined operational flow. Next-Generation Operational Engine is built on a different premise: a plan should be modeled the way the company actually operates, not forced into a generic template. Operations teams define the steps in their flow, the valid ways to move between those steps, and the resources, speeds, capacities and costs for each path. The result is a dynamic operational twin of the warehouse, one that reasons across every valid combination and continuously coordinates even the most complex automation and multi-step flows, and selects the best plan every time.
The Next-Generation Optimization Engine models the real flow of a site, not a generic one, so operations teams get plans that reflect how the floor actually runs, including coordination across AGVs, AS/RS, shuttle systems, automated loading devices, and multi-step P&D transitions.
Modeling the real flow unlocks a set of capabilities that used to require custom builds, including prestaging and partial staging, replenishment, multi-step and divergent flows such as short-term versus long-term storage, and non-standard units of measure, such as raw materials measured in tons or catch-weight. Each of these opens a previously out-of-reach use case and widens the range of warehouses AutoScheduler can run on.