ShopperAssist API Documentation
Most Personalization (Recommendation) API are Blind and Mechanical. Here, we present, Slurplick, a Personalization API with Human Like Vision, Understanding and Intelligence. Its specialized Algorithms behind APIs are able to extract features from Product Images, able to understand customer at deeper levels and recommend intelligently like a real Salesman.
You can get started in 4 Steps: 1:Add Customers; 2: Add Products; 3: Add Orders. You are ready to get Product recommendations by Category, Similar Products and Visually Similar Products in both Personalized and non-Personalized model.
Back-end Services are backed by State-of-Art Google Cloud Infrastructure.
Technology: Vision Analytics, Machine Learning, Artificial Intelligence.
Learn more about this API