Frequently Asked Questions
When you’re doing novel things in the supply chain industry, we get many of the same questions pretty frequently. We’ve answered some of them here and are happy to talk about any of them in further detail.
What is a Warehouse Decision Agent?
A Warehouse Decision Agent is an AI system that continuously coordinates operational decisions across labor, docks, equipment, and work priorities in real time.
Unlike traditional software that executes pre-set workflows, a decision agent senses what is happening on the floor, recalculates the best plan, and orchestrates actions as conditions change. It turns fragmented data into coordinated decisions so the warehouse runs as one system instead of disconnected parts.
What is Agentic AI in warehouse operations?
Agentic AI refers to AI systems that don’t just analyze or recommend, but actively make decisions and take action within defined goals and constraints.
In a warehouse, Agentic AI monitors operations, detects disruptions, evaluates tradeoffs (service, cost, throughput, labor), and continuously adjusts the plan. Instead of humans stitching together systems and rules, the AI acts as a decision layer that keeps operations aligned in real time.
How is a Warehouse Decision Agent different from a WMS?
A WMS manages transactions and executes workflows. A Warehouse Decision Agent decides how work should be prioritized and coordinated across the operation.
The WMS is great at tracking inventory and executing tasks. The Decision Agent sits above it, orchestrating labor, docks, waves, and priorities across systems to achieve business outcomes like higher service levels, better throughput, and lower overtime.
Why isn’t a WMS enough to run a modern warehouse?
Because a WMS was designed to execute plans, not continuously re-plan and coordinate decisions across the operation.
Modern warehouses face constant disruptions: labor shortages, late trucks, rush orders, automation constraints, and shifting priorities. A WMS doesn’t resolve these tradeoffs. That gap forces managers into manual firefighting. A WarDecision Agent fills that gap by continuously optimizing and coordinating decisions in real time.
What does “decision orchestration” mean in a warehouse?
Decision orchestration means coordinating thousands of daily operational decisions so they work toward the same business goals instead of conflicting with each other.
Instead of each system or team optimizing locally, orchestration aligns labor, docks, equipment, and priorities around a single, continuously updated plan. The result is fewer bottlenecks, less rework, and better overall performance.
How does AutoScheduler work with my existing WMS, WES, and TMS?
AutoScheduler sits on top of your existing systems and uses their data to orchestrate decisions across them.
It does not replace your WMS, WES, or TMS. It connects to them, senses what’s happening, calculates the best plan, and feeds coordinated priorities back into execution. You keep your systems. AutoScheduler makes them work together.
What problem does decision overload create in warehouse operations?
Decision overload happens when managers are forced to manually resolve too many tradeoffs, too fast, with fragmented data.
This leads to slower decisions, suboptimal choices, constant firefighting, and hidden costs like overtime, rework, missed cutoffs, and burnout. The real constraint in many warehouses is not labor or automation. It’s the ability to make good decisions fast enough.
Why do warehouse managers get stuck in firefighting mode?
Because the gap between static plans and real-time execution is closed manually by people instead of systems.
When disruptions hit, warehouse and operations managers must override plans, reassign labor, and change priorities by instinct. These “hero” interventions keep things moving short term, but they create bottlenecks, inconsistency, and burnout. Without orchestration, firefighting becomes the operating model.
How does AutoScheduler make decisions in real time?
AutoScheduler continuously monitors operational data, detects changes, and recalculates the optimal plan across labor, work, and constraints.
When something changes—a late truck, a labor call-out, a surge in priority orders—the system re-optimizes and updates priorities in minutes, not hours. This keeps execution aligned with business goals throughout the shift.
What decisions can AutoScheduler make that other systems cannot?
AutoScheduler makes cross-functional tradeoff decisions that span labor, service, throughput, and constraints.
For example, it can decide how to reassign labor to protect carrier cutoffs without creating downstream dock congestion or overtime spikes. Traditional systems optimize in silos. AutoScheduler optimizes the whole operation as one system.
How does a Warehouse Decision Agent improve labor efficiency and reduce overtime?
By ensuring every labor hour is spent on the highest-value work, based on real-time priorities and constraints.
Instead of overstaffing, understaffing, or reacting late, the Decision Agent continuously aligns labor to demand. This reduces wasted motion, avoids panic-driven overtime, and stabilizes execution, improving both productivity and workforce sustainability.
Can AutoScheduler improve service levels, throughput, and on-time performance at the same time?
Yes, because it optimizes the operation as a system instead of chasing one metric at the expense of others.
AutoScheduler balances competing objectives like service, cost, and flow. By orchestrating decisions across the operation, it prevents local optimizations from creating global problems—so you can improve OTIF, throughput, and efficiency together.
Does AutoScheduler replace my WMS or automation systems?
No. AutoScheduler orchestrates them.
Your WMS, WES, LMS, and automation systems continue to execute. AutoScheduler provides the decision layer that coordinates priorities and plans across them so they operate as one coherent system instead of isolated tools.
How fast can AutoScheduler respond to disruptions on the floor?
Typically in minutes, not hours.
Because the system is always monitoring conditions and recalculating plans, it can re-prioritize work and labor as soon as something changes. This shortens recovery time from disruptions and keeps the operation aligned throughout the shift.
What’s the fastest way to get started with a Warehouse Decision Agent?
Start with one high-impact use case, such as labor orchestration or wave and priority coordination.
AutoScheduler is designed to layer onto your existing systems and deliver value quickly. Most customers begin with a focused problem, prove the impact, and then expand orchestration across more parts of the operation.
Make the Most of Your Workforce
From forecasting to task allocation, AutoScheduler ensures the right people are in the right place at the right time. See it in action.