Last mile logistics (LML) is the least efficient and complex part of supply chain. The main
objective of this study was to identify major challenges of urban freight LML and …

Purpose The purpose of this paper is to re-examine the extant research on last-mile logistics
(LML) models and consider LML's diverse roots in city logistics, home delivery and business …

This research examines the phenomenon of food delivery services from the mobile app
user's perspective and how consumers' lifestyles are changing because of the convenience …

Purpose The development of e-grocery allows people to purchase food online and benefit
from home delivery service. Nevertheless, a high rate of failed deliveries due to the …

Supply chains, logistics and freight have been facing increasingly complex challenges
posed by transitions in economic structures, urbanization, city design and transport systems …

This research shows how to use historical delivery data to predict future delivery results by
applying address intelligence. The application of multiple linear regression techniques …

We have witnessed unparalleled progress in artificial intelligence (AI) and machine learning
(ML) applications in the last two decades. The AI technologies have accelerated …

Trends in retail and e-commerce have led to greater demand for urban freight and last-mile
deliveries. This is a concern for urban planners, parcel carriers, and citizens as they struggle …

Frequently, e-commerce customers pay additional costs for home delivery taking place in a
restricted time window. We show how such a behavior is counterproductive in terms of last …

The purpose of the study is to identify logistic elements germane to e-grocery businesses,
and to reveal the challenges collateral with each logistic element. Further, it strives to create …