Real cases

Industrial AI in automotive seating plants

A sequenced seating plant does not build to stock: it builds to the assembly plant's broadcast, in the exact order vehicles come down the customer's line, inside a window running from ninety minutes to a few hours. That constraint governs everything. An error here is not a defect: it is a customer line stop, billed by the minute, that marks the commercial relationship for years.

See the 12 cases, one by one ↓

Sequenced seating line with four numbered rings from the incoming broadcast signal through preparation and build to truck loading, and a screen confirming all units in sequence

Underneath that capital pain sit three threats that are really the same one: the sequence or configuration error, the supply break announced in an email nobody read in time, and the non-conformity in a safety part — belt anchorage, structure, side airbag in the backrest — where the failure is no longer a stop but campaign and certification risk. All of it while several lines are balanced building different variants at once.

This page collects twelve industrial AI use cases grounded in this sub-sector, organized around the three pieces of the IRIS architecture: Connect (capturing what is lost today), Edge (vision that sees the line at cadence) and Agents (the memory that becomes judgment). They all share one principle: humans in command — the system supplies evidence and stops the line, the decision stays with the person.

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Talk to an iLEAN engineer about your sequencing window and your incident history: the return on this system is calculated against the first line stop avoided. ---

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See automotive