Wael Alanezi

Mubsir

An AI tool that finds the cheapest Saudi online store for a product, and an honest look at where it failed.

Team project, Alenmaa Hackathon 2026. My part: backend, testing and statistical evaluation.

Found the product for 28 of 33 test items, with 78.1% matching precision.

[Mubsir screenshot]

What we built

A Spring Boot backend that searches stores through SerpAPI and uses an LLM to match listings to the product.

Results

  • It found the product for 28 of 33 test items (84.8% coverage).
  • 78.1% matching precision (plus or minus 14.3 points, 95% confidence interval).
  • 2.5% average price difference on correct matches.

What I found

Half of the “cheapest store” picks were accessories, like cases and cables, not the product itself. I proposed a relative statistical filter to remove them: [one sentence on how it works].

Stack

Java, Spring Boot, SerpAPI, LLM

Links

  • [Code or demo video, if public]