Sculpting Real-Time Intelligence in E-Commerce Vendor-Customer Relations Sophisticated Big Data Analytics Integration

The rapid development of e-commerce has been driven by the significant advancements in big data analytics. It effectively enables businesses to optimize vendor-customer relationships through personalized experiences and real-time intelligence. The following study focuses on integrating sophisticated big data architectures and machine learning tools, such as Apache Spark and Hadoop, to analyse customer behaviour, predict trends, and streamline operational efficiency. Key methodologies considered in the study include sentiment analysis, natural language processing (NLP), and ARIMA modelling for time-series forecasting. Key findings highlight actionable insights in customer satisfaction, sales forecasting, and regional revenue analysis while addressing ethical concerns, data privacy, and infrastructure challenges. The following research underscores the transformative potential of real-time intelligence in driving e-commerce growth while maintaining ethical and secure frameworks.