A supplier alert that doesn't cost 90 minutes of stopped line

A steel supplier's email warns of a 48-hour delay on a tinplate coil. The email lands in an inbox that's read late, once a work order is already planned around that coil. With iLEAN Connect, the system reads the email instantly, cross-checks active work orders in the ERP, and raises the concrete action to take.

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Production manager holding a tablet with a replanning message for a delayed steel coil shipment, next to a lithography line marked with a programmed pause and pallets of cans
The problem

The coil delay arrives in time. Reading it does not.

Critical alerts from steel suppliers or packer clients arrive by email to specific people who can't watch the inbox in real time. By the time they're read, decisions already made get broken — and the lithography line stops for 90 minutes waiting for someone to decide.

  • A steel supplier emails a 48-hour delay on a tinplate coil. The message lands in the inbox of one person who cannot watch it in real time.
  • By the time it is read, the work order has already been planned around that coil and the litho press is being set up for it.
  • The line then stops for 90 minutes waiting for somebody to decide which run to bring forward and whether the right gauge and varnish are in stock.
  • Packer clients do the same: a format change or an urgent pull-in written in an email that sits among a hundred other messages.
How it fits the IRIS system

Connect in chaotic-sources mode — a dedicated mailbox in silent copy, 24/7 in metal packaging.

Connect chaotic-sources mode. A dedicated mailbox in silent copy 24/7. An LLM extracts the intent (supply delay, spec change), the entities (supplier, coil, client, date) and cross-checks the ERP, returning the concrete action to the right role.

Finding out sooner is only half of it. The value is that the alert arrives already crossed with the work orders it breaks, addressed to the role that has to decide, with the concrete action on the table.

See the full IRIS architecture →

Before and after

The coil alert in an inbox versus the coil alert crossed with the ERP

AspectToday, in the inboxWith iLEAN Connect
Human latency on a critical email2-3 hoursSeconds
Work orders affected by a late coilWorked out by handListed with their run and client
Litho line while somebody decidesStopped up to 90 minutesResequenced before it stops
Basis for the new sequenceA message read three hours lateActive work orders, in real time
Who gets itWhoever the supplier wrote toPlanning, purchasing or quality, by intent
Final decisionTaken lateTaken by a person, on live data

2-3 h of human latency → seconds. Replanning decisions based on real-time data, not on something read three hours earlier.

Impact estimate

Impact estimate — to be validated with your numbers.

The block below is an estimate to be validated against your plant's actual data. We put it forward so the committee has an order of magnitude; we refine it during the assessment.

  • Estimated payback 3-7 months, depending on how often critical alerts arrive.
  • Unplanned stoppages of the litho line caused by missing information, avoided before they start.
  • Replanning decided on real-time data instead of on a message read 2-3 hours after it arrived.
  • And packer client changes reach planning at the moment they are sent, not when somebody gets back from the floor.

Estimated payback of 3 to 7 months depending on critical alert frequency, avoiding unplanned stoppages from missing information. Estimate to validate.

And the fair question from the production manager

“Will it read everyone's email?” — no. iLEAN sits in copy on a dedicated operational mailbox: it only sees what suppliers and clients send to that channel. Classifying an alert's intent and extracting supplier, coil, client and date is an anchored task where the best models drop below 1.5% error [1], and the replanning is approved by a person before anything moves on the line. If the model is unsure of the intent, the email is escalated as is to a person instead of being classified by guesswork.

[1] OpenAI paper "Why Language Models Hallucinate", 2025 — on the reliability of AI in anchored tasks.

Frequently asked questions

What people ask about reading coil supplier alerts in metal packaging

Does it tell a coil delay from a specification change?

Yes. It classifies the intent of each message, so a supply delay goes to planning and purchasing, while a change in varnish or gauge goes to quality and the technical office. A routine confirmation of a shipment that is on time interrupts nobody.

How does it know which work orders depend on that coil?

It crosses the supplier, coil and dates in the email with the active work orders in the ERP and returns the affected runs with their client. It also shows which other coils of the same gauge and coating are in stock, so the alternative is on the table.

What about emails from packer clients?

They follow the same path: an urgent pull-in or a format change is extracted and crossed with the plan, so it does not wait for its recipient to open it. The client's message stays attached to the proposed change, so planning can see exactly what was asked.

Does it replan the litho line by itself?

No. It proposes the concrete action and the production manager confirms it. The decision stays with a person; what changes is that it is taken on live data. Every proposal and every decision is stored, which shows over time which alerts actually changed the plan.

Do steel suppliers have to use a template?

No. Steel mills and service centers write as they always do, in free text, and the model extracts the entities from each message as it arrives. Messages in another language, common with international steel mills, are handled the same way.

Let's talk

Tell us which critical alerts get read too late in your plant today.

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