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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40015
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the age of rapidly growing e-commerce and increasing customer expectations, optimizing last-mile delivery has become a significant challenge for logistics and courier services. This paper presents a comprehensive framework for an AI-based customized time slot delivery system aimed at enhancing operational efficiency and customer satisfaction. Leveraging artificial intelligence (AI), clustering algorithms, and route optimization techniques, the system enables customers to select delivery slots based on their availability. By integrating dynamic data analysis, real-time communication, and interactive scheduling tools, the proposed solution minimizes delivery failures, reduces operational costs, and ensures seamless logistics operations.
KEYWORDS
Publication Date
1/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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