case-studies

AI-powered eCommerce search engine for speed and accuracy

Year of implementation
2019
Industry
Automotive

A large eCommerce platform with millions of unique items, complex metadata management, and challenges in automated quality control.

Approach and methodology

We developed an AI-powered search engine capable of handling millions of items with response times under one second. Computer Vision algorithms and advanced indexing features ensure automated metadata quality control. This improves search accuracy, enhances customer satisfaction, and reduces errors, streamlining the overall purchasing process.

Staff involved in the project
2 Specialists
Execution time
2 Months
Technologies used
  • Search Engine

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