Smart Recommendations Systems Influenced By Seasonal Trends And User Demographics

Abstract

With the rise of online shopping, personalized recommendation systems are essential for enhancing user experience. This research introduces a web-based e-commerce platform that integrates user demographics and seasonality to deliver dynamic product recommendations. The platform includes an intuitive user interface, robust search capabilities, and an admin dashboard. The proposed system benefits businesses of all scales by aligning product suggestions with individual preferences and seasonal trends.