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Manufacturing - Case study

Manufacturer cut quality-control reporting time by 75 percent and caught defects earlier

The client

A Thai industrial manufacturer producing components for the automotive supply chain.

A QC reporting flow that ingests inspection data from the shop floor, summarizes daily and weekly trends with an AI layer, and surfaces emerging defect patterns to the QC manager.

The client

A Thai industrial manufacturer producing components for the regional automotive supply chain. Around three hundred staff, three production lines running two shifts each. Quality control reporting was a Friday afternoon ritual that the QC manager had been doing personally for over a decade.

The problem

Inspection data was being captured on paper at each station, then re-entered into Excel by the QC manager every Friday. The weekly summary report took her about six hours to produce, and by the time it surfaced any pattern (an uptick in a specific defect category on a specific line) the issue was already a few hundred parts deep.

The approach

The build replaced the paper checklist with a tablet at each inspection station, feeding directly into Airtable. Each shift’s inspections landed in real time. n8n watched the data nightly. An LLM looked at the latest twenty-four hours, compared against rolling baselines, and surfaced anything that was trending in a worrying direction. The output was a one-page morning summary that landed in the QC manager’s inbox at six a.m., with the actionable patterns called out and the rest summarized in passing.

The Friday weekly report was now a mostly-finished draft by Friday morning, with the manager’s role reduced to writing the management commentary on top.

The result

QC reporting time for the manager dropped from around eight hours a week to about two. More importantly, defect patterns were now being surfaced within twenty-four hours instead of within a week, which meant interventions on the production lines were happening before the defect count had run into the hundreds. Customer-side rejection rates dropped over the next quarter as a direct consequence.

Your turn

Every build started as a specific problem.

Whichever one is costing your team the most time right now is usually the right place to begin. Half an hour together, a written read inside a business day, and an honest opinion on whether automation is even the right answer.

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