AutoScheduler has launched its warehouse app builder to let logistics teams build custom tools directly from live facility data. The new software module forms part of the company’s wider Warehouse AI Platform, serving distribution centres that balance inventory, machinery, and labour.

Distribution centres routinely depend on rigid enterprise resource planning and warehouse management suites. When operational snags crop up between these massive platforms, floor managers often turn to manual spreadsheets or unrecorded staff routines. Site planners can now assemble targeted software routines in plain language. This capability bypasses lengthy commercial software release cycles and overburdened enterprise IT queues.

Keith Moore, CEO at AutoScheduler, said: “Warehouses run on massive systems that are expensive and slow to customise, so operators fill the gaps with spreadsheets, business intelligence tools, homegrown tools, and tribal knowledge.

“The people who see the problems every day can now fix them, building applications on live warehouse data, backed by real optimisation math, in days. We still orchestrate all the systems inside the building; now we also hand the floor the tools to solve everything in between.”

Instead of relying on broad, unstructured language models to guess logistics logic, the environment sits on an operational semantic layer built across six years of distribution operations.

That layer maps relationships across warehouse management systems, labour management records, yard software, and automated machinery. Mathematical solvers interpret user requests and convert plain text prompts into live monitoring dashboards, predictive trackers, and automated tasks.

The system writes verified instructions straight back to core management software for floor execution.

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