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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47481

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

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-

Subject:

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Paper ID:

IJSREM47481

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem47481

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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PRANJAL CHAUDHARY

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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

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PRANJAL CHAUDHARY, "Optimizing Delivery Time and Customer Satisfaction: A Data-Driven Analysis of Blinkit’s Logistics Operations," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem47481

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5/10/2025

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