E-commerce Strategies in the Digital Age Enhancing Customer Experience and Market Reach

Thepaper highlights the pressing demand for E-commerce innovation, outlining flaws in existing systems and emphasizing the necessary development to match modern consumer expectations. Existing systems need to capture complex user behavior, necessitating the implementation of a comprehensive technique. The proposed e-commerce system combines advanced data analytics, machine learning, augmented reality (AR), and virtual reality (VR) technology. Results and analytical metrics show significant progress, with marketing campaign accuracy rising from 70% to 90% and personalization efficiency shifting from low to high. The switch to real-time user data analysis after a two-week delay demonstrates the system’s efficiency. Improvements in brand identification, customer loyalty, and repurchase rates highlight the system’s ability to improve brand-consumer relationships. Despite these advances, obstacles such as privacy concerns and accessibility issues are highlighted, emphasizing the necessity for ongoing refinement to remain relevant in the dynamic digital commerce world. The study proposes implementing such new methods to address existing limitations and improve the E-commerce scene.