The problem ShopSavvy: Your AI-Powered Shopping Concierge solves

ShopSavvy simplifies and enhances the online shopping experience by providing personalized product recommendations tailored to individual preferences. It intelligently analyzes customer behavior data such as search queries, purchase history, and reviews to deliver relevant product suggestions. This helps users find what they are looking for quickly, making shopping easier and more efficient. For e-commerce platforms, ShopSavvy boosts engagement and sales by increasing customer satisfaction and retention through tailored recommendations, ultimately making the shopping journey smoother and smarter​.

Challenges we ran into

One of the major challenges we faced during the development of ShopSavvy was integrating multiple recommendation algorithms—content-based filtering, collaborative filtering, and a hybrid approach—into a seamless system that could balance accuracy and diversity in recommendations. Additionally, optimizing the system to handle large-scale customer data in real-time without performance lags required extensive testing, model evaluation, and optimization. To overcome these hurdles, we employed rigorous data preprocessing, normalized the data for consistency, and continuously refined our machine learning models through A/B testing.