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The reorder that files itself.

A logistics company's ops team spent hours a day on routine reordering — same suppliers, same math, endless clicking. We automated the routine and kept humans on the judgment calls.

Client

Regional logistics company (name on request)

Services

AI Consulting · AI Implementation

Timeline

10 weeks, shadow mode → autonomous

Integration

Existing ERP + supplier portals

6 moshands-off on routine orders and counting
~15 hrsops time returned per week
100%of exceptions still routed to a human

The problem

Reordering stock was predictable ninety percent of the time — check levels, check lead times, place the usual order. But the ten percent that wasn't predictable (supplier delays, price spikes, demand swings) meant a person had to babysit all of it. The routine work was holding the judgment work hostage.

What we built

An agent wired into their ERP that watches inventory, forecasts from actual order history, and places routine orders within rules the ops team wrote themselves — spend caps, approved suppliers, lead-time buffers. Anything outside the rules stops and asks a human, with its reasoning shown.

Trust was earned, not assumed: it ran in shadow mode for a month, drafting orders next to the team's real ones, until the drafts matched what the humans would have done. Only then did it go live — with an audit trail on every decision.

The outcome

Six months of hands-off routine ordering, roughly fifteen hours a week returned to the ops team, and — the part they care about — zero stockouts on automated SKUs. Humans handle exceptions and strategy now, which is what they were hired for.

"It does the boring ninety percent, and it knows which ten percent isn't its call."— Ops Manager (placeholder quote — replace with real testimonial)
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