The rapid growth of quick commerce (q-commerce) has transformed the way consumers access goods, with platforms like Blink it leading the charge in instant delivery services. This research paper explores the integration of Artificial Intelligence (AI) into the development of a next-generation q-commerce platform, aiming to enhance operational efficiency, customer experience, and scalability. By leveraging AI-driven solutions such as demand forecasting, route optimization, dynamic pricing, and personalized recommendations, the proposed platform seeks to address key challenges in the q-commerce ecosystem, including delivery latency, inventory management, and customer retention. This paper outlines the architectural framework, AI models, and data pipelines required to build such a system, while also discussing the ethical considerations and potential societal impacts of AI-powered instant delivery services. The findings aim to provide a roadmap for entrepreneurs and developers looking to innovate in the q-commerce space using cutting-edge AI technologies.
Dhiman et al. (Sun,) studied this question.