Authors : Alka Rao; Dr. Amarjit R Deshmukh; Yashwant Kumar; Anmol Soi

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/4x8bshar

Scribd : https://tinyurl.com/y65vaxvp

DOI : https://doi.org/10.5281/zenodo.10203508

Abstract : The last mile delivery phase represents a critical and often costly component of the e-commerce supply chain. As online retail continues to thrive, optimizing last mile delivery becomes imperative for businesses aiming to enhance customer satisfaction while maintaining cost-effectiveness. This abstract explores strategies and technologies that contribute to the efficient and economical execution of last mile delivery in the e- commerce landscape. Key areas of focus include route optimization, delivery network design, and the integration of advanced technologies such as artificial intelligence, machine learning, and IoT devices. By leveraging data analytics and predictive algorithms, businesses can develop dynamic routing systems that adapt to real-time variables, including traffic conditions, weather, and order volume fluctuations. This not only reduces delivery times but also minimizes fuel consumption and associated carbon emissions. Furthermore, this abstract delves into the importance of collaboration and partnerships among e-commerce companies, logistics providers, and local authorities. Such collaborations can lead to shared infrastructure, optimized delivery routes, and the pooling of resources, ultimately contributing to a more sustainable and cost-effective last mile delivery ecosystem. In conclusion, this abstract emphasizes the multifaceted nature of optimizing last mile delivery in the e-commerce supply chain. By integrating innovative technologies, implementing strategic network designs, and fostering collaborative relationships, businesses can achieve a balance between cost-effectiveness and customer satisfaction in the dynamic and competitive e-commerce landscape.