Partners
Enhancing E-commerce Search (Phases 1 & 2)
The Challenge
This project utilizes generative and machine learning technologies to address core challenges in e-commerce, including missed sales, low conversion rates, and poor product discoverability, by enhancing online search, recommendation, and product catalogue automation systems. In partnership with IVADO Labs, multiple AI systems are being developed and deployed to power more personalized, efficient, and visually intuitive shopping experiences. These include automating product catalogue enrichment through image and metadata analysis, enabling visual search for lookalike products, improving query interpretation through intent detection and reformulation, and boosting relevance with semantic search and product embeddings. A machine learning model will also dynamically optimize search result rankings. The project aims to increase online conversion and revenue while enhancing the shopper’s search and product discovery experience. Beyond immediate commercial impacts, the initiative will generate scalable AI tools for broader retail adoption and contribute to the maturity of Canada’s AI ecosystem.
Made possible through the
financial support of
financial support of
