See What Your Team Can Build With Warehouse AIThe Warehouse AI Platform, End to End

No. Your WMS stays the system of record and it keeps executing. AutoScheduler runs on top of it, reads from it, and sends decisions back to it. We don’t rip and replace, and we don’t compete with your WMS vendor. Most of our customers picked their WMS years ago and aren’t changing it, which is exactly the point.

A BI tool shows you what happened. It doesn’t know what a wave, a dock appointment, or a short ship is, so your team spends weeks defining all of that before the first chart is worth looking at. Ours already knows. And BI stops at the chart. It can’t watch a condition, act when it changes, or coordinate labor and doors as the shift moves.

That’s the part we spend the most time on. In the Workflow Designer we map your site with your people: every place inventory can sit, every allowed movement between them, and the resources and constraints attached to each one. If a rack can’t feed a door on second shift, that goes in the model. The sites that know themselves best produce the most detailed maps, and those are the ones the engine plans best.

No. They run on the same foundation, so you can use one, two, or all three, in whatever order fits. Some sites start by replacing a handful of spreadsheets with applications. Some start with a single automation that watches one number nobody has time to watch. Optimization is scoped as its own piece of work, and it doesn’t have to come first or last.

Read access from IT, and time from the operators who know the local rules. We do the connecting, mapping, and validation. For your first operational priority, that’s about a week. Modeling your full site for optimization is scoped separately, because the answer depends on how your site runs.

Whatever supports the first problem you want to solve. Usually that means the WMS for orders, inventory, and tasks; labor systems for standards and attainment; yard and dock systems for trailers and appointments; and ERP or production for plans and material needs. You don’t have to connect all of it on day one, and most sites don’t.

You can be building on your own data in about a week. The first applications and automations follow as soon as your team knows what it wants to see and what it wants watched. Orchestration outcomes arrive on the timeline of that work rather than in the first week.

Both, and the mix shifts over time. Early on, AutoScheduler experts build alongside your team, so you end up with working applications and people who know how to make more. After that, most get built by whoever needs them: planners, supervisors, site leads. No developer, no ticket queue, no six-week wait for a report.

You refine it in the next sentence, or you roll it back. Every change is a version and every version restores in one step. And every application can show its source data and calculations, so “that’s not right” turns into “that field is stale” instead of an argument.

Both, and you decide which. An automation can notify the right people, or trigger an action you’ve approved in advance. You test a rule and see what it would have done before you enable it. Acting inside your systems is a switch you turn on deliberately, not a default.

Your data stays yours, and sites and tenants are isolated from each other. Access is explicit: you decide who can view, who can build, and who can publish. Credentials live in the platform, never inside an application or an automation rule. Every automation run, every override, and every publish is recorded.