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AutoScheduler launches warehouse app builder for logistics teams

AutoScheduler introduced a warehouse app builder as part of its Warehouse AI Platform, letting logistics teams create custom tools from live facility data using plain‑language prompts. The system sits on a six‑year‑old operational semantic layer that maps warehouse management, ERP, labour and yard data, and uses mathematical solvers to turn requests into dashboards, trackers and automated tasks…

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Key points

  • AutoScheduler’s new app builder lets warehouse staff create AI‑driven tools from live data using plain‑language prompts.
  • The builder relies on a six‑year semantic layer that links WMS, ERP, labour and yard systems to optimisation solvers.
  • Early deployments reported apps built in under 15 minutes and operational savings that justify six‑figure annual budgets.

CEO Keith Moore said the builder lets operators replace spreadsheets and home‑grown scripts with AI‑driven apps in days. Product head Kunj Pandya noted the semantic layer already understands data across systems, and the feature has been deployed at nearly 100 sites. Early rollouts show a user built an app in under 15 minutes and another saved enough to justify a six‑figure annual allocation. A planner at a global food‑and‑beverage firm praised the speed and data integration.

Full story from AI News · by Ryan DawsOpen source ↗

AutoScheduler launches warehouse app builder for logistics teams

AI News · 22 September 2026

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This text was published by AI News and written by Ryan Daws. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AutoSchedulerKeith MooreKunj Pandya

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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