Paper Contents
Abstract
The e-commerce industry is growing rapidly with increasing need to optimize delivery schedules and efficiently manage resources. This project introduces an advanced Decision Support System (DSS) designed to tackle these challenges by using datadriven strategies to streamline delivery processes, consolidate orders, and boost operational efficiency. By analyzing historical data and order patterns, the DSS predicts future delivery needs, reduce inefficiencies in order fulfillment. Through the use of geographic clustering for micro warehousing and demand forecasting, the system enables smarter delivery scheduling and resource allocation. This results in reduction of delivery costs, better use of resources and accurate deliveries which leads to improve customer satisfaction. This project provides an innovative solution to modern ecommerce logistics challenges and provide a way for more efficient delivery systems.
Copyright
Copyright © 2024 Abirami R. This is an open access article distributed under the Creative Commons Attribution License.
