GenAI and Machine learning-driven project for creation smart search and product catalog to optimize process of searching
M A Y 202 4 — J U L Y 2 0 2 4
Description: This project focused on improving internal catalog search capabilities for a large global management company by implementing an AI-driven solution. The goal was to enhance product matching for customer RFQs using Machine Learning and Natural Language Processing (NLP), providing more accurate and
efficient product suggestions for the sales team. The solution integrated with the existing e-commerce platform and utilized AWS infrastructure, with an emphasis on optimizing search accuracy and analyzing data for continuous improvements.
Project type: Fixed Price, Business Solution, IT Solution, GenAI, ML, NLP, AWS
Position: Project Manager
Team: 3 FTE (Data Scientist, Machine Learning Specialists, Business Analytics)
Budget: 40 000 USD
Area: IT, Supply Chian, E-Commerce Industry
Location: North America, Houston TX,
Technologies/Tools:
Amazon OpenSearch, Amazon Bedrock, Amazon ECS, AWS ECR, AWS CloudWatch, AWS, CodeCommit
