SUPPLIER ALERT ARRIVES ON TIME

The problem

The bad news travels through a channel nobody designed.

A starch, fat or aroma supplier emails a 48-hour delay warning for the truck expected that same afternoon. The email lands in the purchasing manager's inbox, read mid-morning when a production order is already scheduled to start with that raw material at 2pm. Result: the dosing unit sits idle waiting for a decision.

• A starch, fat or aroma supplier warns by email of a 48-hour slip on a truck due that same afternoon. It is a routine message for them and a broken day for you.
• The message lands in the purchasing manager's inbox and gets read mid-morning, when a production order is already scheduled to start on that raw material at 2pm. Nobody on the floor knows yet.
• Between the alert arriving and anybody acting on it there are two or three hours of purely human latency, and in those hours nothing is replanned and nobody downstream is warned.
• The dosing unit ends up idle waiting for a decision that could have been taken before the shift even began, and the press and packing line behind it idle with it. Nobody logs that stoppage as an information failure, because there is no such category.

How it fits the IRIS system

Connect in chaotic-sources mode — the mailbox is read the second it fills.

Connect chaotic-sources mode: the system sits on 24/7 silent copy on the supplier's mailbox (or WhatsApp Business number). An LLM extracts the alert's intent, cross-checks active ERP production orders, and returns the concrete action to the production manager: which order to reshuffle and which to reschedule.

The system does not decide for anybody. It reads the alert as it lands, works out which orders it touches and puts a concrete proposal in front of the production manager: this order moves, that one runs instead, and this is what it does to the week. The decision stays human; only the delay disappears.

See the full IRIS architecture →

Before and after

Today's supplier notice versus the notice crossed with the plan

Aspect	Today	With iLEAN Connect
Latency before anybody acts	2-3 hours	Seconds
Orders hit by the delay	Worked out at the dosing unit	Named in the alert itself
What the manager receives	A forwarded email	Which order to reshuffle, which to reschedule
An idle dosing unit	Hours waiting on a decision	Avoided by replanning in time
An alert that lands out of hours	Read the next morning	Processed as it arrives
The purchasing system	—	Not replaced

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

Impact estimate

Impact estimate — to be validated with your planning team.

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 a critical raw-material alert actually reaches you, and on what an idle hour costs on that line.
• Unplanned downtime caused by bad information flow, rather than by a machine breaking, stops being a monthly event on the dosing unit and starts being a rarity.
• Replanning happens on the situation as it is now, not on what somebody happened to read three hours earlier over coffee, when half the decisions had already been taken.
• And the fat or aroma lot that would have gone into the wrong order is caught before the order opens, not after the blender is charged.

Estimated payback of 3 to 7 months depending on critical alert frequency, avoiding unplanned downtime from poor information flow. Estimate to be validated.

And the fair question from the production manager

"Will it confuse routine correspondence with a real alert?" — separating an alert from ordinary email and pulling out date, material and quantity is an anchored classification task, where the best models drop below 1.5% error [1]. And it never reschedules anything by itself: the proposal goes to the production manager with the original message attached, so they can read it in two seconds and decide. A misread costs one discarded suggestion and nothing more, which is a very different exposure from an automatic replan.

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