OPTIMIZING THE DELIVERY ROUTES IN ONLINE FOOD DELIVERY PLATFORMS

Abstract

The emergence of internet meal delivery services has completely changed how people eat. However, optimal supply channels are crucial to these platforms’ effectiveness. With an emphasis on Angular as the frontend framework, this research investigates the complex task of delivery route optimization in online meal delivery systems. The study improves the effectiveness of food delivery operations by assessing current approaches, utilizing cutting-edge algorithms, and incorporating real-time data. In order to improve online meal delivery services, the project carefully investigates route optimization techniques with an emphasis on user experience, delivery time reduction, and cost effectiveness. Although consumers have benefited greatly from the quick expansion of online meal delivery services, there are now difficulties in optimizing delivery routes to guarantee effectiveness and customer happiness. In order to enhance the delivery process on online meal delivery platforms, this study investigates a number of optimization strategies and algorithms.