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September 22, 2026 · Daily brief

Warehouse teams now build custom software by describing it

Sovereignty angle
You describe it, the platform builds it, but you cannot take it with you. The app only runs inside AutoScheduler. Before you automate a decision, run it as a dashboard first. Let a person watch it for 50 cycles before you let it act alone.

AutoScheduler launched an app builder on Sept 21 that lets warehouse staff build custom tools in plain language. One team built a working app in 15 minutes. Another saved six figures in two weeks.

Describe the tool, it writes itself

On Sept 21, AutoScheduler launched an app builder inside its Warehouse AI Platform. Warehouse staff describe what they need in plain language. The system writes the application, connects it to live warehouse data, and deploys it.

One site built a working application in 15 minutes during a workshop. Another facility planner built a replenishment tracker independently. That single tool generated enough verified savings in two weeks to justify a six-figure annual budget allocation.

AutoScheduler already runs in nearly 100 warehouses, including IKEA, Procter and Gamble, and GXO. The app builder sits on top of that existing data layer, so apps pull live information from warehouse management, labor, and yard systems without additional integrations.

What you can build with it this week

A wave sequencing monitor. A dock door schedule tracker. A replenishment alert system. A cross-dock allocation tool. An on-time shipment dashboard. Any workflow that falls between your existing warehouse software.

The system uses plain language, not code. You describe the task, the data it needs, and what it should display. The builder writes the software, connects it to your systems, and runs it.

What to keep in your own hands

This tool only works if you already run AutoScheduler in your warehouse. It is not a standalone product. You cannot export the apps it builds or run them outside AutoScheduler's platform.

Before you build an app that makes operational decisions automatically, test it in a monitoring role first. Build a dashboard that shows the data and lets a person decide. Once you trust the logic, then automate the action. And never let an app change inventory, labor, or shipment decisions without a person reviewing the first 50 runs.