A Machine Learning-Driven Power BI Dashboard for Sales and Operational Performance Analysis in Instant Delivery Services

This study introduces a machine learning-enhanced Power BI dashboard tailored for tracking and analyzing sales performance, customer dynamics, and operational metrics of Blinkit, a rapid delivery platform. The dashboard is engineered to provide stakeholders with intuitive visual analytics and key performance indicators (KPIs), fostering informed and data-driven decision-making. By aggregating and processing diverse datasets—such as order histories, customer profiles, inventory levels, delivery logs, and marketing data—the system delivers comprehensive insights into business performance. Key focus areas include revenue analysis, product category trends, customer segmentation, and loyalty assessment. Delivery operations are evaluated through metrics like punctuality, fulfillment accuracy, and partner efficiency. Inventory insights are derived from stock status, turnover ratios, and item-wise performance, supporting supply chain optimization. Customer experience is further refined through analysis of feedback sentiment and satisfaction scores. Marketing effectiveness is gauged using conversion metrics and return on advertising spend (ROAS). The dashboard supports advanced interaction with filters, drill-downs, and narrative visualizations, all built upon a robust technical architecture. Overall, this project leverages the synergy of machine learning and business intelligence to optimize decision-making, boost customer satisfaction, and improve operational outcomes for Blinkit. INDEX TERMS Sales Performance Analysis, Machine Learning, Power BI Dashboard, Business Intelligence, Customer Segmentation, Operational Efficiency, Inventory Management, Delivery Performance, Marketing Analytics, Data Visualization, Key Performance Indicators (KPIs), Customer Satisfaction, Supply Chain Optimization, Blinkit, Data-Driven Decision Making.