SMART E-COMMERCE WEBSITE WITH AI BASED PRODUCT RECOMMENDATION SYSTEM

Author(s)	Mr. Girish Kumar Sahu, Vasant
Country	India
Abstract	The rapid growth of e-commerce has increased the demand for intelligent systems that can assist users in selecting products suited to their preferences. As online platforms continue to expand, customers often face difficulties in finding relevant items due to the large volume of available choices. To address this challenge, Artificial Intelligence-based product recommendation systems are integrated into e-commerce platforms to analyze user behavior, purchase history, and browsing patterns. These systems generate personalized product suggestions that simplify the shopping process, enhance user satisfaction, and improve business sales performance. By providing tailored recommendations, e-commerce platforms become more user-friendly, efficient, and competitive in the digital marketplace.
Keywords	Online Retailing, Intelligent Product Suggestions, AI Recommendation Engine, User Preference Analysis, Hybrid Recommendation Techniques, Behavior-Based Filtering, Personalized Shopping Experience, Digital Marketplace, Customer Profile Modeling, Python Programming, Django Framework, Adaptive Product Discovery, Enhanced User Interaction.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-11-13
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.60528

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