Envisioning the autonomous supply chain: Implications, challenges and pathways

Digitisation and automation are driving a paradigm shift towards autonomous supply chains, where intelligent systems orchestrate end-to-end processes with minimal human intervention. This paper explores the concept of the autonomous supply chain, its potential benefits and the challenges associated with its realisation. By examining the roles of cognitive planning, strategic sourcing, procurement, manufacturing, warehousing and logistics, the paper envisions a future where machines manage machines, leveraging artificial intelligence (AI), machine learning (ML) and advanced analytics. This transition, however, raises critical considerations around governance, performance measurement, human capital and environmental sustainability. Through industry examples, the paper focuses on the partnerships, standards and technological infrastructure required to navigate the path towards autonomous supply chain operations. Ultimately, the paper contributes to the discourse on the transformative potential and responsible development of self-driving supply chains.

Authors

Publication Details

Journal
Journal of supply chain management, logistics and procurement.
Published
2025-02-26
DOI
https://doi.org/10.69554/cuan8458
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Envisioning the autonomous supply chain: Implications, challenges and pathways

Deborah Dull
Journal of supply chain management, logistics and procurement.
Supply Chain Resilience and Risk Management
article

Envisioning the autonomous supply chain: Implications, challenges and pathways

Deborah Dull
article en

Abstract

Digitisation and automation are driving a paradigm shift towards autonomous supply chains, where intelligent systems orchestrate end-to-end processes with minimal human intervention. This paper explores the concept of the autonomous supply chain, its potential benefits and the challenges associated with its realisation. By examining the roles of cognitive planning, strategic sourcing, procurement, manufacturing, warehousing and logistics, the paper envisions a future where machines manage machines, leveraging artificial intelligence (AI), machine learning (ML) and advanced analytics. This transition, however, raises critical considerations around governance, performance measurement, human capital and environmental sustainability. Through industry examples, the paper focuses on the partnerships, standards and technological infrastructure required to navigate the path towards autonomous supply chain operations. Ultimately, the paper contributes to the discourse on the transformative potential and responsible development of self-driving supply chains.

Journal of supply chain management, logistics and procurement.Vol. 7(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Supply Chain Resilience and Risk Management
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