AI for Supply Chain: Today and Future

A supply chain is the network of entities and processes involved in the production and distribution of a commodity. Supply chains are a critical backbone across industries like retail, manufacturing, healthcare, and automotive, driving everything from product availability to operational efficiency and customer satisfaction. Modern supply chains are 1) non-cooperative, functioning as fragmented systems where isolated technologies solve individual problems without integration, and 2) unadaptable, failing to adjust to real-time data and uncertainties, like demand fluctuations and regulatory changes. As a result, frequent manual overrides are required, as even small errors can lead to significant financial losses, strained customer relationships, or reputational damage. Modern Artificial Intelligence (AI) advancements offer great potential to unify fragmented supply chains into a seamless, adaptive system while enhancing automation, decision-making, and transparency. In this workshop, we will examine critical supply chain challenges and demonstrate how AI can provide accurate, efficient, and scalable solutions.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1145/3711896.3737872
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

AI for Supply Chain: Today and Future

Qingsong Wen, Chen-Yu Lee, Ranak Roy Chowdhury, Narendra Agrawal et al.
Sustainable Supply Chain Management
article

AI for Supply Chain: Today and Future

Qingsong Wen, Chen-Yu Lee, Ranak Roy Chowdhury, Narendra Agrawal, Yan Liu, Huiming Qu, Alexis Roos
article en

Abstract

A supply chain is the network of entities and processes involved in the production and distribution of a commodity. Supply chains are a critical backbone across industries like retail, manufacturing, healthcare, and automotive, driving everything from product availability to operational efficiency and customer satisfaction. Modern supply chains are 1) non-cooperative, functioning as fragmented systems where isolated technologies solve individual problems without integration, and 2) unadaptable, failing to adjust to real-time data and uncertainties, like demand fluctuations and regulatory changes. As a result, frequent manual overrides are required, as even small errors can lead to significant financial losses, strained customer relationships, or reputational damage. Modern Artificial Intelligence (AI) advancements offer great potential to unify fragmented supply chains into a seamless, adaptive system while enhancing automation, decision-making, and transparency. In this workshop, we will examine critical supply chain challenges and demonstrate how AI can provide accurate, efficient, and scalable solutions.

University of Southern California (US), Google (United States) (US), Amazon (United States) (US), Santa Clara University (US), Bellevue College (US), Home Depot (United States) (US)
Openalex Percentile: Top 71%
Sustainable Supply Chain Management
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AI for Supply Chain: Today and Future — Qingsong Wen, Chen-Yu Lee, et al. · (2025) | TGRS Research Map | TGRS