The Challenge
OptiSuggest wanted an AI microservice to predict product cross-sells based on real-time browsing behavior.
Our Solution
WebZap trained a deep learning recommendation model deployed via FastAPI serving vector predictions in under 15 milliseconds.
Key Features Implemented
Specific technical features built into this application.
Frequently Bought Together
Calculates real-time co-purchase probability for shopping cart items.
Personalized Homepage Carousel
Renders products tailored to individual user browsing history.
Visual Similarity Search
Suggests visually similar apparel items using image embeddings.
Dynamic Price Elasticity AI
Suggests optimal discount percentages during clearance sales.
Key Performance Indicators
Quantifiable results achieved post-launch.
WebZap AI recommendation engine increased our average cart size immediately after integration.
Let's Engineer Your Digital Product
Speak with our lead architect to review technical specs and timelines.