Cloud-Enabled Intelligent Personalization and Secure Transaction Framework for Scalable E-Commerce Platforms

This work discusses the evolution of a cloud platform for intelligent personalization and safe transactionmanagement in scalable e-commerce sites. With the growth of e-commerce, sites are compelled to provideindividualized user experience with transaction safety and privacy. On-premises solutions cannot processheavy loads of data and traffic and are therefore unsuitable for today's dynamic e-commerce environment. Cloud computing offers a substitute in the form of offering elastic scalability, high-performance data processingcapabilities, and seamless integration of AI/ML solutions for intelligent personalization. The central concern of this research is to design and develop a cloud-based system with both personalized userexperience and secure transactions.Based on machine learning algorithms, the system will offer real-time one-to-one recommendations and content in accordance with the user's own taste, and which will grow userusage and satisfaction. Behind the scenes, robust security features like encryption and authentication processes are part of the transactional process of securing confidential customer data from web threats and ensuring compliance with privacy regulations. The proposed model integrates scalability, high performance, and security in addressing the requirements of modern-day e-commerce sites. By difficult testing and benchmarking with current systems, the study measures the performance of the cloud solution to improvepersonalia, security, and transaction effectiveness. This publication goals at communicating perceptibleinfo to e-commerce in the upcoming and location an instance for businesses which wish to make changes and reform their sites as well as market safe and personalia buying on behalf of the client.