Applied AI & Data Science
VisualProductDiscovery
Visual ProductDiscovery
Image-led search flow that reduced discovery friction when users did not know the exact product name.
Context
Built in a commerce setting where search quality can directly affect discovery, confidence, and purchase intent.
Problem
Users may recognize what they need visually before they can describe it clearly. That creates a gap between intent and searchable language.
Contribution
Built an image-led discovery workflow using OpenAI, FastAPI, and image processing to connect uploaded visuals with relevant product or content descriptions.
Tools used
Impact / learning
Increased orders by 28%.
Applied AI becomes valuable when it removes effort at a specific point in the purchase journey.
Future direction
Expand the case into a deeper product study around search behavior, visual intent, and assisted discovery.