IJLTEMAS International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) IJLTEMAS 2278-2540 IJLTEMAS 559 10.51583/IJLTEMAS.2026.151000040 E-Commerce A Multi-Platform E-Commerce Cart Optimisation System Nikhita Malga Computer Science Engineering Hyderabad Institute of Technology and Management Hyderabad India Akshaya Manubolu Computer Science Engineering Hyderabad Institute of Technology and Management Hyderabad India Murali Krishna Nela Computer Science Engineering Hyderabad Institute of Technology and Management Hyderabad India Ankitha Merugoju Computer Science Engineering Hyderabad Institute of Technology and Management Hyderabad India Dharmendra Kumar Roy Dr. Associate Professor Department of Computer Science Engineering, HITAM Hyderabad India 15 10 477 483 16 10 2026 21 10 2026 03 11 2026 E-commerce Cart Fusion Cart Optimisation React.js Node.js Express.js MongoDB Abstract

In day-to-day life We use and explore multiple e-commerce platforms and we purchase many products, But at last we look for better price options. When we search for a product, we basically look for the platform that offers the lowest price, discounts, offers and delivery charges. To check Each and every platform and compare the product prices, discounts, and delivery charges manually consumes more time, and selecting the lowest-priced option for each product may not always result in the lowest overall cart cost. This paper presents Cart Fusion, a multi-platform e-commerce cart optimisation system designed to assist users in finding the lowest price combinations of each e-commerce platform. The proposed system enables users to search for products and compare their prices, discounts, offers, and delivery charges across available e-commerce platforms. It calculates the lowest price for each product and optimises the complete cart by determining suitable platform selections for individual products. The system is mainly designed using React.js for the frontend and Node.js, Express.js, and MongoDB for the backend. Cart Fusion aims to reduce manual comparison effort and help users identify potential savings while shopping online.

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