AI-Driven Real-Time Sales Analytics and Customer Feedback Insights Platform
Ananthiga K, IV year CST, SNS College of Engineering, Coimbatore. Email: kavinayashreek@gmail.com
Harshini J, IV year CST, SNS College of Engineering, Coimbatore. Email: jharshini062@gmail.com
Jeslar John Salamon V, IV year CST, SNS College of Engineering, Coimbatore. Email: jeslarjohn@gmail.com
Mahalakshmi V, IV year CST,SNS College of Engineering, Coimbatore.Email:mahalakshmivengatesan04@gmail.com
Kalaivani K, AP/CSD, SNS College of Engineering, Coimbatore. Email: kalaivanisns2@gmail.com
Abstract
This project focuses on developing an interactive, real-time dashboard designed to empower businesses with actionable insights into sales performance and customer feedback. The platform simplifies data analysis by allowing users to upload CSV or Excel files containing sales and customer data. Using advanced analytics and visualization techniques, it transforms raw data into meaningful insights to optimize business decisions.
Key features include comprehensive sales analytics through dynamic charts and plots, sentiment analysis for customer feedback using TextBlob, and KPI tracking to monitor critical performance metrics such as total revenue, monthly sales trends, and customer satisfaction levels. By leveraging predictive analytics via linear regression, the dashboard enables accurate sales forecasting, empowering users to anticipate trends and make proactive strategies.
This tool bridges the gap between data complexity and business strategy, equipping organizations to enhance customer satisfaction, streamline operations, and drive sustainable growth. Its user-friendly interface ensures accessibility, while the AI-driven insights provide precision and clarity, helping businesses stay competitive in a dynamic market environment.
Keywords: AI-Driven Analytics, Sales Insights, Customer Feedback Analysis, Data Visualization, Predictive Analytics, Sentiment Analysis, Business Growth, KPI Tracking, Proactive Decision-Making, Real-Time Dashboards.
