Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/22246
Title: AN IN-DEPTH STUDY OF THE SUPPLY CHAIN MODEL IN THE QUICK COMMERCE INDUSTRY
Authors: BATRA, YUVRAJ
Keywords: IN-DEPTH STUDY
SUPPLY CHAIN MODEL
QUICK COMMERCE INDUSTRY
Issue Date: Jul-2025
Series/Report no.: TD-8283;
Abstract: The rise of quick commerce (Q-commerce) has revolutionized the retail and e-commerce landscape by promising ultra-fast delivery of essentials, often within minutes. This emerging model demands a highly agile, tech-driven, and hyperlocal supply chain to meet evolving consumer expectations. In India, the growth of Q-commerce platforms like Blinkit, Zepto, and Instamart highlights the sector’s rapid transformation, driven by increasing urbanization, changing lifestyles, and digital adoption. This research project, titled An In-Depth Study of the Supply Chain Model in the Quick Commerce Industry, delves into the operational backbone that powers Q-commerce in India, with a special emphasis on Blinkit as a leading player. The study aims to understand the intricacies of inventory management, dark store operations, demand forecasting, last- mile delivery logistics, and vendor relationships that shape this fast-paced ecosystem. Using a mix of secondary research, industry reports, and insights gathered from practical exposure during an internship at Blinkit, this project uncovers the key challenges and innovations defining the Q-commerce supply chain. It also investigates factors such as technological integration, hyperlocal optimization, workforce efficiency, and SKU rationalization. Findings indicate that while Q-commerce offers immense convenience, it also faces significant hurdles including high fulfilment costs, supply-demand volatility, infrastructure constraints, and sustainability concerns. Blinkit's adaptive strategies—such as micro- warehousing, algorithmic replenishment, and real-time data utilization—serve as case-in- point examples of how Indian Q-commerce firms are attempting to strike a balance between speed, efficiency, and profitability. The study concludes with recommendations to enhance supply chain resilience and scalability in Q-commerce, including investments in predictive analytics, robust vendor ecosystems, and eco-friendly delivery models. Overall, this research contributes to a deeper understanding of a rapidly evolving sector that is redefining modern commerce in India.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/22246
Appears in Collections:MBA

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