Enhancing Customer Satisfaction with Delivery Slot Selection and Route Optimization

DOI

10.2991/978-94-6239-693-7_35How to use a DOI?

Keywords

Time Slot Selection; Route Optimization; Last-Mile Delivery; Haversine Algorithm; Delivery Slot Prediction; Driver Assignment; Mobile Application; Workflow Automation

Abstract

The growth of the e-commerce industry along with additional last-mile de- livery service options has created the need for enhanced logistics systems that can meet the needs of customers more efficiently than they are being met now. The fixed timeframes for delivery established by the majority of courier services have resulted in a reduction of suc- cessful deliveries for many customers. This research describes an artificial intelligence (AI) system that provides Time-Slot Selection and Route Optimization which provide a higher level of service to users trying to have their deliveries completed at the optimal time. Cus- tomers using a mobile application would be able to choose the timing of their delivery and the back-end of the system would provide options to route drivers based on distance, loading balance using the round robin method for groupings of deliveries or allocating deliveries to drivers based on distance travelled to each delivery point. The Haversine Formula is used to measure distance travelled. Finite State Machines will allow verification of the workflow processes while providing for secure authentication of any user requesting data or infor- mation from this service. Through this research, it was found that driver productivity in- creased due to improved travel routes, while distribution of workload was more evenly dis- tributed among those working in the last mile logistics sector. This system provides last mile logistics operations with an opportunity to utilise lightweight AI technologies to pro- vide courier companies and e-commerce businesses with new last mile delivery systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - P. Abinaya
AU  - R. Arshika Sree
AU  - A. Avinash
AU  - M. L. Alphin Ezhil Manuel
PY  - 2026
DA  - 2026/06/16
TI  - Enhancing Customer Satisfaction with Delivery Slot Selection and Route Optimization
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 346
EP  - 357
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_35
DO  - 10.2991/978-94-6239-693-7_35
ID  - Abinaya2026
ER  -