The warning that arrives too late stops arriving too late

In recycling, raw material quality gets negotiated through informal messaging with collectors and brokers. The critical warning almost never comes through the official channel. It comes as a message: half of the load we sent you is carrying more label than usual. Or, a truck fell through, the polyethylene arrives tomorrow.

‹ See all cases of plastics recycling

Purchasing lead reviewing on a tablet an already structured broker alert, with the bale yard and the washing line behind
The problem

Two to four hours of latency. Exactly the hours when the decision still mattered.

That message lands on the personal phone of one person in purchasing, who reads it when they can. By then the bales are already in the yard, or the washing line has already run out of material to process. Typical latency is two to four hours, and those are precisely the hours in which the decision would still have been worth something.

  • The message lands on one specific person's phone in purchasing, read when they can.
  • By then the bales are already in the yard, or the washing line has already run out of material.
  • Typical latency is two to four hours.
  • Which are exactly the hours when the decision was still worth something: set aside, pull forward, resequence.
How it fits the IRIS system

Connect on silent copy — and it returns an action, not an alert.

Connect in chaotic-sources mode puts iLEAN silently in copy: a dedicated mailbox and a business messaging number, live around the clock. The moment the message arrives, the system extracts intent, entities and quantity, and cross-checks them against the live washing and pelletising schedule. And here is the difference that matters: iLEAN does not return an alert, it returns an action. It does not say you have a new message. It says set aside that supplier's bales for lab inspection, and pull the polypropylene order forward so the washing line does not run dry. The decision still belongs to the shift lead, but it gets made with the action already drafted in front of them.

It does not say "you have a message". It says "set that supplier's bales aside for lab inspection and pull forward the washing order for the next batch".

See the full IRIS architecture →

Before and after

The broker alert, before and after

AspectTodayWith iLEAN Connect
Who sees itOne person, when they open their phoneThe right role, as it lands
Latency to reaction2-4 hoursSeconds
Cross-check with the washing scheduleIn someone's head, if there is timeAutomatic
What reaches the ownerThe whole messageThe suggested action, with its reasoning
Weekends and night shiftNobody reads itRead all the same
Who decidesThe personThe person

Impact estimate

Impact estimate — to validate against 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, directly proportional to how often critical alerts arrive.
  • From 2-4 h of human latency to a concrete action in seconds.
  • Fewer washing-line stoppages from running out of material to process.
  • And fewer bad bales entering the process, which is the cost that later shows up disguised as rework.

Payback 3-7 months · from 2-4 h of human latency to a concrete action in seconds. Estimated payback is three to seven months and it scales directly with how often critical warnings arrive. Two expensive things get avoided: line stoppages for lack of material, and contaminated batches caused by a doubtful bale entering the grinder because nobody had read the warning. An estimate to validate. Conservative ranges, an estimate to validate against the plant's real data.

And the fair question from the production manager

"Is the AI going to reply to our suppliers?" — no. It does not write, does not answer and confirms nothing outwards. Extracting intent and entities from a message already in front of it is an anchored task [1]; what it does with that is prepare the decision and put it in front of the right role.

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

Frequently asked questions

What people ask about scrap supplier alerts

Do you need access to purchasing's phone or mail?

No. It works on a dedicated mailbox and a company messaging number that the relevant traffic is forwarded to. Nobody's personal account is involved.

Our brokers write on WhatsApp, with no format at all.

That is the normal case, which is why the mode is called chaotic sources. Messaging, email and PDF attachments are treated the same: what matters is the extracted entity, not the wrapper.

What does it do when an alert has no impact?

It says so, and that counts. A good share of today's cost is that somebody has to read thirty messages to find the two that matter.

What if it gets the urgency wrong?

It comes with the suggested action and the original message one click away, so the reasoning is visible. If it under-classifies, the message still shows up as it does today: nothing is lost.

Does it connect to the production schedule?

Yes, and that is what gives it value: without cross-referencing against the live washing and pelletising schedule, an alert is just a structured message.

Let's talk

Tell us how long it takes you today to react to an alert from your brokers.

We work on your plant's real data, not ours. Assessment with no commitment.

Request estimated ROI within 48h ‹ See all cases of plastics recycling See plastics