Less guesswork. Better decisions.
Smart Shopping Recommender helps you navigate the choices with clear comparisons, transparent scores and AI-generated guidance tailored to what matters to you.
A match score you can understand
40%
Preference match
Category, brand, purpose, search terms and viewed categories.
20%
Budget compatibility
Your budget is a hard filter for recommendations.
15%
Product rating
Normalized rating from the demo catalogue.
10%
Popularity
Normalized illustrative popularity score.
10%
Feature match
How many requested features appear in the product.
5%
Discount & value
Balances the discount with the product rating.
Responsible AI
AI briefs, chat replies and review analysis use built-in AI generation. Match scores are calculated locally and remain available when AI requests fail. No live web grounding is used. Verify important specifications and seller claims before buying.
Your data, your account
Email/password authentication and verified signup are provided by the platform. Wishlist, history and preferences are saved privately in the built-in key-value store. We do not store passwords or payment details.
A presentation-ready catalogue, honestly labeled
The initial catalogue contains illustrative product prices, ratings, reviews, specifications and popularity. It is not an inventory feed or store. “Frequently bought together” means suggested complements, not observed purchase data. Demo items are never written into persistent storage.
This hosted edition uses Vite + React + TypeScript and platform authentication, AI and built-in storage instead of a separate Express/MongoDB/JWT server. A relational database is a Pro feature. Upgrade to Pro for a managed database, or connect your own Supabase project for free from the Database panel.