Component shortage alert in zero seconds

The problem

Nobody designed the channel a shortage actually travels through.

The email lands in the buyer's inbox, read mid-morning when three work orders are already scheduled to start with that component. Result: hours of downtime while someone decides.

• The formal purchase order goes out through the ERP, but the thing that breaks the week arrives in natural language: a broker warning that the allocation dropped, a distributor slipping the date, a customer's own supplier pulling a part number.
• It lands in one buyer's inbox and gets read mid-morning, when three work orders are already scheduled to start with that component.
• By then the kit is half picked, the feeders are loaded and the changeover is on the shift's critical path. The result is hours of line downtime while somebody decides what to run instead.
• In a multi-customer plant the decision is never just technical: replanning means choosing which customer's program slips, and that conversation cannot start from a message read two hours late. By then the only options left are the expensive ones — a broker premium, expedited freight, or an overtime weekend to catch up.

How it fits the IRIS system

Connect in chaotic-sources mode — a dedicated mailbox in silent copy, twenty-four seven.

Connect chaotic-sources mode: a dedicated mailbox in silent copy 24/7. An LLM extracts supplier, part number, available quantity, and date from the email or WhatsApp message, cross-references active ERP work orders, and alerts the planner with the concrete replanning action.

Finding out sooner is only half the case. What comes back is the cross-check: which active work orders use that part number, how much stock is really committed, and which program can be pulled forward instead. The planner decides — with the answer already assembled instead of with an inbox and a spreadsheet.

See the full IRIS architecture →

Before and after

Today's shortage versus the cross-checked shortage

Aspect	Today, in the inbox	With iLEAN Connect
When it is read	2-4 h of human latency	Seconds
What you get	One more email	Supplier, part number, quantity, date
Affected work orders	Worked out by hand	Cross-referenced against the ERP automatically
Line downtime	Hours while somebody decides	The replanning action is already on the table
Message on WhatsApp	Lost in a personal phone	Read and structured like any other source
Who decides	Whoever opened the email	The planner — iLEAN proposes

2-4h of human latency → seconds. Replanning based on real-time data, not on what was read hours later.

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, counting only the line downtime avoided.
• From 2-4 hours of human latency down to seconds between the notice arriving and the replanning action existing.
• Replanning based on real-time data instead of on what somebody happened to read hours later, with the affected work orders already listed.
• And fewer expedite fees and broker premiums paid because the shortage was discovered with the kit already picked and the feeders already loaded — the point at which every remaining option is an expensive one.

Payback 3-7 months · from hours of downtime to seconds. Estimate to be validated.

And the fair question from the production manager

“Are you going to read my buyers' email?” — no. iLEAN sits in copy on a dedicated mailbox and a company messaging number: it only sees what is sent to those operational channels with distributors and brokers. On extraction, classifying the intent of a shortage notice is an anchored task where the best models drop below 1.5% error [1], and the replanning action is always executed by a person.

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