Author(s): Anupamaa Chavan and Sanika Gujarathi
Quick commerce (Q-commerce) has transformed the way consumers shop for groceries, dailies and utilities by providing incredibly fast delivery. Today’s fast-paced life in urban cities has made it difficult for consumers to shop their daily requirements through offline mode. Quick commerce ensures rapid delivery of essentials, catering to this urban lifestyle while minimizing the need for physical store visits. By analysing consumer behaviour through a data-driven approach, this research offers insights that can help Q-commerce companies optimize pricing models, improve operational efficiency, and expand service offerings. This study investigates into factors affecting the usage of Q-commerce; it employs multiple linear regression analysis to identify the primary drivers of Q-commerce usage. These findings will not only aid businesses in staying competitive but also provide valuable insights for policymakers and industry leaders on the evolving role of quick commerce in modern retail. According to the study’s findings, Q-commerce enterprises should focus on optimizing app navigation, which enhances platform usability and improve overall customer experience. They should also work on competitive pricing, improving delivery performance, extending their product offering, and providing greater incentives for digital payments to establish long- term consumer loyalty and increase market share.