AI-driven automation achieved 85% accuracy and reduced processing time by 80%.
The client designs and develops software solutions with advanced technology to estimate and manage claims, as well as handle maintenance and mechanical breakdowns in the automotive industry.
Automated proprietary code assignment to millions of auto parts on hundreds of car models from global automotive OEMs. The goal was to reduce operating costs while scaling coverage and significantly increasing data quality.
An end-to-end automated solution with an ensemble model using Merit’s AI platform KIAA for parts identification and classification from text and image-based parts catalogues, combined with Machine Learning for automated code assignment.
Whatever the challenge, whatever the industry, our teams work side-by-side with clients to design systems that perform today and evolve for tomorrow. That’s why leading businesses trust us to turn their toughest data ambitions into reality.
