Summary
Used machine learning to analyze product photos and match them to internal merchandise databases for faster identification and pricing. Enhanced appraisal efficiency and consistency across diverse resale categories. Supported scalable growth through cloud-based data integration and automation. Reduced manual effort while improving pricing accuracy and operational agility.