Weighbridge stitched to ERP, no typing

The problem

Two systems that already speak, separated by a keyboard.

When a weighing closes, someone types the weight and waste code by hand into the ERP to generate the outbound note. One typo turns into incorrect billing or a traceability record with the wrong data.

• The weighbridge software already exports data. The ERP already accepts it. Between them, a person retypes weight and waste code to generate the outbound note, weighing after weighing.
• It is repetitive work done hundreds of times a month, and exactly the kind of work where a digit gets transposed. Nobody is careless; it is simply volume.
• One typo becomes an incorrect invoice or a traceability record with the wrong data, and sometimes a management certificate issued on top of it and already in the client's hands.
• Nobody notices until month-end reconciliation, or until a client asks why their certificate shows a tonnage that does not match their own records. At that point, the correction involves the client, billing and the certificate.

How it fits the IRIS system

Connect stitches scale and ERP together via API — both ways, replacing neither.

Connect stitches two modern systems together via API: when a weighing closes at the scale, weight, plate number and waste code are automatically published to the ERP. Closing a weighing becomes automatic, not a typing task in the management system.

This is the most classic case in the matrix, and often the quickest to deploy: two modern systems, nothing for an AI to read, only a reliable stitch. When the weighing closes, plate, weight and waste code are already in the ERP and the note is ready. It is often the quickest win to show the finance team in the first month, because the errors it removes are already visible in their reconciliation.

See the full IRIS architecture →

Before and after

Weights retyped versus weights published

Aspect	Today	With iLEAN Connect
Moment the ERP gets the weight	When someone types it	When the weighing closes
Human-origin typing errors	Recurring every month	Zero
Waste code on the outbound note	Copied by hand	Carried from the scale
Certificate with the wrong tonnage	Possible	Removed at source
Master data (clients, codes)	Kept twice	Synced from the ERP
Scale and ERP software	—	Both untouched

Recurring monthly typing errors (some affecting billing or certificates) → zero human-origin errors in weighing uploads.

Impact estimate

Impact estimate — fast, and measured against certificate risk.

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 3-6 months, one of the fastest in the matrix, because both systems already exist and nothing has to be read.
• Recurring monthly typing errors — some of them affecting billing or certificates — go to zero, together with the month-end hunt to find them.
• The risk of issuing a management certificate with incorrect data drops drastically, and so does the time spent correcting certificates already sent to clients.
• And the person who retyped weights all day goes back to work that actually needs a person: checking the exceptions, not retyping the rule.

Fast payback (3-6 months), drastically reducing the risk of a management certificate with incorrect data. *Estimate to validate*.

And the fair question from the production manager

“And if the link breaks on a busy morning?” — weighings are queued on the scale side and published in order when the link returns, so nothing is lost or duplicated. Where a field has to be interpreted — a free-text remark the operator adds to a weighing — the mapping is an anchored task where the best models drop below 1.5% error [1], and a mismatch with the ERP master data is held for review rather than posted. Nothing reaches an invoice that the ERP itself does not recognize.

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