The rapid digital transformation and the increasing penetration of e-commerce have significantly influenced consumer behavior, leading to the rise of quick commerce (Q-commerce). Unlike traditional e-commerce, which typically promises delivery within a few days, Q-commerce focuses on ultra-fast deliveries, often within 10 to 30 minutes. This evolution has been primarily driven by advancements in technology, changing consumer preferences, and the need for convenience. In metropolitan cities like Bengaluru, where a large population thrives on instant gratification and a fast-paced lifestyle, the success of Q-commerce largely depends on an efficient logistics network. The selection of a suitable logistics partner becomes crucial for ensuring timely deliveries, maintaining service quality, and optimizing operational costs. In this regard, the integration of artificial intelligence (AI) and machine learning techniques, such as artificial neural networks (ANN), offers a promising approach to analyzing and predicting the best logistics partner based on multiple parameters.