Optimizing Delivery Time and Customer Satisfaction: A Data-Driven Analysis of Blinkit’s Logistics Operations

Abstract The quick-commerce industry is redefining consumer expectations by offering rapid deliveries. Blinkit, a pioneering player in this domain, has successfully leveraged data analytics, operational innovation, and strategic leadership to enhance delivery efficiency and customer satisfaction. This paper examines Blinkit's logistics operations, focusing on theoretical models like the Resource-Based View and Adaptive Leadership theory. It analyzes Blinkit's value chain, external environmental factors through a PESTEL framework, and an in-depth case study of its dark store model. The paper concludes by offering strategic insights for sustained growth and competitiveness