Running a warehouse is hard.

When you think you have a
Labor Overtime Productivity Efficiency Automation Trailer Detention Cost problem...

You actually have a decision overload problem

Warehouses now make more decisions per hour than people can manage. Your WMS is imperfect and can actually make the problem worse. When labor, automation, yard, and execution all change at the same time, decisions happen in silos. Firefighting becomes the operating model, hiding margin, driving burnout, and incurring cost no one sees.

This problem stops when decisions work… together.

Firefighting Is a Symptom of a Broken Decision System.

Everything changes constantly in the warehouse. Labor Availability is Disrupted. Trailers run late. Automation slows. Priorities change mid-shift.

Without a system orchestrating optimal decisions across these changes, managers are forced to react. Firefighting feels productive, but it’s a sign that decision overload has exceeded what people and disconnected systems can manage.

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The High Cost of Labor Firefighting and Systemic Attrition

Your WMS executes work.
It doesn’t coordinate decisions.

Your WMS maintains data and executes tasks.

Illustration depicting centralized coordination of warehouse operations through AutoScheduler's AI-driven platform.

More Warehouse Management System configurations do not orchestrate warehouse decisions. The WMS was built to execute tasks, not coordinate the operation.


You do not need to replace your WMS. You need a decision layer on top that makes all warehouse decisions work together as conditions change.

Meet the Warehouse Decision Agent

AutoScheduler is the Decision Agent that orchestrates your warehouse by providing the optimal decisions for labor, yard, execution, and automation together on top of your existing WMS.

Decision overload shows up everywhere

Why Warehouse Labor Plans Fail

Warehouse labor planning, near and long-term, is a major challenge due to work volatility, transportation variability, and constant disruptions. When sites struggle, turnover rises, overtime spikes, and supervisors get pulled into firefighting. Better decision making around labor planning drives more efficiency, less chaos, lower cost, and improved service.

AI warehouse orchestration, warehouse optimization, holiday logistics, peak season

Why Warehouse Automation Sits Idle

Robotic workflows require smooth interchanges at ingress and egress. When flow breaks down, high-cost equipment sits idle or queues build and waste labor. The firefighting to keep things moving may feel productive, but it destroys warehouse automation ROI. Optimized decisions improve automation utilization, robotics performance, and throughput per hour while reducing downtime.

Warehouse Execution Systems

Why Dock Delays and Trailer Detention Never Go Away

How decisions are made in the building is the greatest driver of trailer and driver detention. Missed warehouse opportunities become delays, and delays become detention costs. Optimized dock scheduling and labor flow in the building increase dock door utilization and improve trailer turn time.

Why Warehouse Execution Falls Apart During the Shift

Warehouse execution struggles when orders stack unpredictably and conditions around labor, automation, and transportation change. Productivity dips as urgency rises to fix issues, and actual throughput and service levels collapse. The result is lower orders per hour and growing execution variability.

Built for complex warehouse operations

Food & Beverage Operations

CPG

Manufacturing Warehouses

3PLs and Logistics Providers

Retail

What Our Customers Are Saying

What happens when decisions work together

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.

How do I know if AutoScheduler will be useful for my organization?

We can help you with that. Before deciding to dive in and implement the full AutoScheduler solution, we can do a short-term return on investment analysis that only takes a few weeks. This will help you to understand how much can be saved by working with us.

AutoScheduler is designed to optimize all operations, but the problem is, every warehouse is different. AutoScheduler uses machine learning to predict better what is likely to happen inside of a facility. For example, if Steve is case picking and it’s 5:30 AM, and there is a backlog of 12 orders up next, each layer will take 8 minutes instead of the expected 10 minutes.

 

The AutoScheduler solution is designed to focus on all of your warehouse’s critical activities, so things like dock scheduling, loading, unloading, case picking, and the creation of transfer orders are all optimized. In the end, we want to make sure that everything gets where it needs to when it needs to be there.

 

The AutoScheduler solution was built and developed for one of the world’s largest consumer goods companies, Procter & Gamble. P&G has consistently lived in the “Master’s” category of the Gartner Top 25 for their supply chain execution. Since we received the green light to bring AutoScheduler to market, we have brought on several other of the world’s largest companies as customers. See our customer page for more details.

 

 

For the limited analysis, very little IT input is required. We just need some data. For a full-scale WMS and ERP integration, we’ll work with your IT team on getting access to about 300 data fields from each system. Don’t worry, though. We’re experts, and this process is pretty painless. If we want to get really fancy, we’ll also want the capability to write back to your WMS so that it can remain the single source of truth.

 

 

Ready to Run Smarter?

Every warehouse is unique. Let us help you solve your biggest challenges with solutions tailored to your operations.