Multimodal Product Intelligence — Visual & Text Understanding

I will build a multimodal product intelligence platform for your e-commerce catalogue — combining visual product understanding (style, colour, category, and attribute extraction from images) with text understanding (title, description, and review analysis) to create rich, structured product representations enabling better search, recommendation, and catalogue management than either modality alone. Product catalogues with rich multimodal representations enable search that finds "blue cotton shirt with buttons" by understanding both the image and the text description, recommendations that account for visual similarity alongside categorical similarity, and automated attribute extraction that populates missing fields by analysing product images directly.

The platform covers image-based attribute extraction, text attribute extraction and normalisation, multimodal product embedding for search and recommendation, catalogue enrichment pipeline, and a product intelligence API.