International Journal on Science and Technology

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Real-Time Driver Performance Evaluation in Last-Mile E-commerce Delivery

Author(s) Ashish Patil
Country United States
Abstract In the hyper-competitive landscape of e-commerce, last-mile delivery has emerged as one of the most critical and cost-intensive components of the supply chain. Driver performance plays a pivotal role in shaping customer experience, ensuring operational efficiency, and maintaining brand reputation. This paper investigates the concept of driver performance in last-mile delivery, explains why accurate evaluation is essential, and explores how real-time data can be utilized for precise and actionable assessments. We propose a framework integrating real-time GPS, delivery timestamps, customer feedback, and external factors like traffic and weather to holistically evaluate driver performance. With insights drawn from industry case studies and statistical analysis, the paper quantifies the impact of real-time driver rating systems on delivery success rates, operational costs, and customer satisfaction. Implementation strategies, evaluation metrics, and future research directions are also discussed. Additionally, we consider the broader implications of data-driven performance evaluation on workforce engagement and regulatory compliance in the delivery industry.
Keywords Driver Performance, Last-Mile Delivery, Real-Time Data, E-commerce Logistics, Delivery Efficiency, Customer Experience, Performance Metrics, Data Analytics, Machine Learning
Field Engineering
Published In Volume 12, Issue 3, July-September 2021
Published On 2021-09-08
Cite This Real-Time Driver Performance Evaluation in Last-Mile E-commerce Delivery - Ashish Patil - IJSAT Volume 12, Issue 3, July-September 2021. DOI 10.71097/IJSAT.v12.i3.3908
DOI https://doi.org/10.71097/IJSAT.v12.i3.3908
Short DOI https://doi.org/g9fzx2
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