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.
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.