Metallurgy · Cold rolling & coil logistics
A North American steel service center rolled out AI-assisted coil identification, yard reconciliation, and exception routing—so planners stopped fighting spreadsheets and the floor stopped second-guessing the WMS.
Who: Integrated steel service center (anonymized) — four sites, shared inventory, high SKU mix.
Problem: Coil tags damaged in the yard, partial picks without photo proof, and nightly reconciliations that never quite matched the ERP.
What we shipped: Edge vision models for tag & stencil OCR at receiving, a reconciliation service that scores WMS vs. scale vs. imagery, and human-in-the-loop queues for low-confidence reads.
Operations leaders could see shrink in the financials but not attribute it to a lane, shift, or carrier window. Auditors wanted lineage from weighbridge to bay.
We instrumented the highest-variance choke points first (receiving + transfer aisles), froze scope for a nine-week pilot, and wired outputs only into systems teams already trusted.
Shadowed receiving crews, mapped 14 exception types, baseline variance by site.
Two lanes live with shadow mode (AI suggestions not auto-posting).
Latency SLOs met, security review passed, cutover for auto-post on >92% confidence.
Rolled to remaining plants; integrated weighbridge CSV drops.
“For the first time we could show finance exactly which movements cleared and which ones didn’t—without adding headcount at the gate.”
— VP Operations, anonymized program sponsor
Representative scenario for marketing purposes. Company name, figures, and timeline are illustrative composites and not attributable to a single public customer without a signed release.