Reinventing Scrap Management for a Leading Automobile Manufacturer

From Manual Errors to Automated Excellence: Automating Scrap Tracking, Boosting Accuracy and Cutting Costs


Outdated Processes, Endless Errors, and Zero Insights

Managing scrap materials shouldn’t feel like solving a crossword puzzle with half the clues missing, but that’s where this automobile manufacturer was stuck. Workers relied on handwritten cheat sheets to log material types, quantities, and reasons for scrapping—basically, a system begging for errors. Trends? Invisible. Real-time insights? Nonexistent. Management? Left guessing while costs soared, inefficiencies piled up, and opportunities for improvement were lost in the chaos.


AI That Did What Humans Couldn’t (or Wouldn’t)

inoBrix brought in GPT-4 Vision to deal with the cheat-sheet circus, turning workers’ scribbles into clean, usable data faster than you can say, “This is a mess.” The data went straight into a vector database designed to spot patterns and trends. Then, using Python APIs, the system hooked into the ERP, automating workflows like adjusting orders or production schedules—because nobody has time to babysit spreadsheets.

And for those “oh no” moments? Azure Logic Apps sent instant alerts to management when scrap levels got out of hand. No guesswork, no delays, just real-time notifications screaming, “Fix this now!” The result? A process so smooth it made the chaos look like it never happened.


From Wasted Materials to Real-Time Savings: The Tangible Impact of Automation

  • 80% Less Manual Work: Workers finally had time to do their actual jobs.
  • Accuracy That Doesn’t Suck: AI nailed data interpretation with zero human errors.
  • Real-Time Insights: Scrap trends and alerts came in faster than bad jokes in a group chat.
  • 25% Cost Savings: Less waste. Lower costs. CFO-approved.

The Takeaway: Stop Letting Scrap Manage You

Scrap management doesn’t have to suck. inoBrix turned a dumpster fire into a system so efficient it practically runs itself. The moral? If your processes are stuck in the past, call inoBrix. They’ll drag you into the future whether you’re ready or not.

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