1 DR.B.Anil, 2 K Tulasi, 3 A Shravan Kumar, 4 M Manasa, 5 Y Sunil 03 09 The Ecommerce Customer Analytics Dashboard is a data analytics and visualization system designed to help online businesses understand customer behavior purchasing patterns and overall sales performance Ecommerce platforms generate large amounts of data from customer registrations product searches orders payments reviews and website interactions Analyzing this information can help businesses understand their customers and improve their marketing and sales strategies The proposed system collects customerrelated information such as customer ID order history purchase frequency order value product categories location browsing activity and transaction dates The system processes this information and calculates important customer metrics such as total customers active customers average order value purchase frequency customer retention and customer lifetime value The dashboard presents customer analytics through interactive charts graphs tables and Key Performance Indicators KPIs Business users can analyze customer segments based on purchase behavior spending level location product preference and engagement Filters allow users to select specific time periods product categories customer groups or geographic regions The system can also help identify important customer behavior patterns Businesses can observe highvalue customers frequently purchased products inactive customers repeatpurchase trends and changes in customer engagement Customer segmentation can help organizations design more targeted marketing campaigns and improve customer retention strategies Overall the Ecommerce Customer Analytics Dashboard provides a centralized platform for transforming raw customer and transaction data into meaningful business insights It reduces manual analysis and supports datadriven decisionmaking Future enhancements can include AIbased customer segmentation churn prediction personalized product recommendations sales forecasting sentiment analysis and realtime customer analytics Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026