AutoScheduler.AI announced the next-generation optimization engine, a re-architected version of the company's optimization engine that 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, continuously coordinates even the most complex automation and multi-step flows, and selects the best plan every time.
"Most warehouse software still treats the WMS as the foundation for decision making, but as operations have gotten more complex, they find that it can tell you what happened, but not what to do next," says Keith Moore, CEO of AutoScheduler.AI. "AutoScheduler.AI doesn't just execute a plan someone else designed for a generic warehouse; it reasons through your actual operation, coordinating every piece of equipment and every flow, and builds the best plan for it, even as conditions change."
Key takeaways:
· 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, ASRS, shuttle systems, automated loading devices, and multi-step P&D transitions. For technical teams, new site types and customers can be onboarded through configuration rather than custom engineering.
· Tested against live data from one of the world's largest CPG manufacturers, the next-generation optimization engine reproduced the trusted results of AutoScheduler's established engine in a fraction of the time, fast enough to re-optimize a plan not once a shift, but continuously as conditions change.
· This engine can now reason down to individual flows and the steps and sub-steps within them, giving the agent a materially deeper layer of intelligence to work from.
· The same engine can now stretch across industries and operations that previously required custom builds, including retail and grocery distribution, raw materials manufacturing, value-added services, sortation-driven distribution, bulk and raw materials handling, finished goods facilities attached to production, multi-step and split storage, and micro-fulfillment and each-picking sites.
· The same flexibility extends to operations in cold chain and temperature-zoned facilities, 3PLs managing multiple clients under one roof, regulated hazmat and pharma operations, sites running mixed automation such as ASRS, AMRs, and conveyor systems alongside manual labor, value-added services like kitting and light assembly, cross-dock and flow-through facilities, returns and reverse logistics, retail store-sequence loading, and import and port-adjacent operations.
