Bhanpurawala Quresh Muderbhai

UT4051

The fast growth of e-commerce has changed the way we buy and receive goods, necessitating an ever-increasing demand for efficient and prompt delivery, particularly in heavily populated urban regions. However, the inherent restrictions imposed by urban areas, such as traffic congestion, limited parking, and short delivery time windows, have encouraged novel methods to inventory scheduling and vehicle routing. This research project examines the existing instant delivery company efficiency in Ahmedabad in terms of cost, time, and sustainability parameters. This was accomplished by targeting two separate companies: Swiggy Instamart and Blink It. Interviews were conducted with the warehouse manager to better understand the present supply chain and its cost implications. The delivery partner and customer preferences stated survey was done to reveal concerns with last-mile delivery. This study attempts to address these difficulties by investigating the dynamic interaction between inventory management and vehicle routing, as well as optimizing e-commerce delivery in urban regions. Following that, a data-driven model is created based on various scenarios selected by the warehouse managers of both organizations. The scenario was built on timely delivery, cost-effectiveness, and sustainability. The concept aims to improve outbound supply chains, reduce environmental impact, and lower operational costs for dark stores in cities.