Journal of Advances in Developmental Research

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Predictive Model for Precise Delivery Date

Author(s) Arulmozhi Kasthurirengan
Country United States
Abstract This paper addresses the critical issue of inconsistent and unclear delivery messaging within the e-commerce shopping funnel, identified upon joining the Delivery and Fulfillment Channel of the Supply Chain Network in a leading organization. The lack of clarity in delivery promises has been recognized as a significant contributor to cart abandonment and increased customer service inquiries. Delivery logistics inherently involve a complex network of stakeholders—including carriers, manufacturers, distributors, and end customers—each introducing potential variability to fulfillment timelines. Both external factors, such as weather disruptions, holidays, and weekends, and internal factors, including order processing inefficiencies, tracking inaccuracies, communication breakdowns, and transportation delays, further exacerbate this challenge. This study explores a structured approach to modeling and implementing Precise Delivery Date (PDD) systems aimed at enhancing delivery predictability, improving customer trust, and reducing operational friction across the supply chain.
Keywords Predictive Algorithm, On Time Accuracy, Estimated Variance, Post-Purchase Experience, Machine Learning, Artificial Intelligence, Key Performing Indicators
Field Engineering
Published In Volume 14, Issue 1, January-June 2023
Published On 2023-03-09
Cite This Predictive Model for Precise Delivery Date - Arulmozhi Kasthurirengan - IJAIDR Volume 14, Issue 1, January-June 2023. DOI 10.71097/IJAIDR.v14.i1.1478
DOI https://doi.org/10.71097/IJAIDR.v14.i1.1478
Short DOI https://doi.org/g9vdf3
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