Article
Version 1
This version is not peer-reviewed
Edge Intelligence in Enhancing Last-Mile Delivery Logistics
Version 1
: Received: 20 July 2024 / Approved: 23 July 2024 / Online: 23 July 2024 (13:20:03 CEST)
How to cite: Reis, J. Edge Intelligence in Enhancing Last-Mile Delivery Logistics. Preprints 2024, 2024071777. https://doi.org/10.20944/preprints202407.1777.v1 Reis, J. Edge Intelligence in Enhancing Last-Mile Delivery Logistics. Preprints 2024, 2024071777. https://doi.org/10.20944/preprints202407.1777.v1
Abstract
Background: The last-mile delivery phase, the final stage where goods move from a distribution center to customers, is pivotal but faces significant inefficiencies and high costs due to its complexity. Recent advancements in Edge AI or Edge Intelligence (EI) offer promising solutions to these challenges. Methods: This study explores how AI-driven technologies and real-time data processing, combined with EI, can enhance last-mile delivery operations. A thorough literature review was conducted to assess technological advancements, and a Delphi method was used to systematically and empirically assess the impact of EI solutions on both operational efficiency and customer satisfaction. Results: Although EI technologies offer substantial benefits, EU companies are hesitant to adopt these innovations due to high implementation costs. However, firms that have embraced these technologies report significant improvements, including better route optimization, reduced delivery times, and enhanced service reliability. These findings highlight the need for a culture of innovation and the recruitment of experts with advanced qualifications to drive technological advancement in last-mile logistics. Conclusions: The integration of EI represents a significant step towards more efficient, cost-effective, and customer-focused last-mile delivery solutions. Future research should aim to refine these technologies and explore their long-term impacts on the logistics industry.
Keywords
artificial intelligence; autonomous delivery vehicles; customer satisfaction; Delphi method; distribution centers; edge intelligence; last-mile delivery logistics; real-time decision-making; supply chain management
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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