Our customer, a leading American remanufacturer of automotive and industrial machinery spare parts, was facing critical challenges in automotive headlight procurement.

Rather than backed by data, our customer’s procurement process largely relied on intuitions of on-field experts visiting junkyards and garages. These traditional approaches created several challenges, including:

  • Over reliance on a few experts in the team, increasing burden on them and creating roadblocks in procurement.
  • Misidentification of used spares, leading to compatibility issues, poor customer experience and higher procurement cost.
  • Lacking a price competitiveness assessment, leading to increased costs.
  • Lacking real-time visibility into inventory levels, leading to overstocking or understocking of spares.

Although these challenges seem varied, we at Saxon AI effectively addressed all these challenges with an innovative mobile application using computer vision and machine learning technologies.

Harnessing the cutting-edge AI technologies, our solution helped our customer simplify headlight procurement and improve profitability.

How did we do it you ask?

Delve into the complete story of the leading American remanufacturer and discover how we helped them harness the power of computer vision and machine learning to boost their bottom lines.

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