FinTech and Artificial Intelligence in Supply Chain: Trends, Challenges, and Research Gaps

Sami Jaadar; Hamid El Ghazi; Mourad Oubrich; Syed Mehmood Hasan

doi:10.1109/ICTMOD66732.2025.11371931

FinTech and Artificial Intelligence in Supply Chain: Trends, Challenges, and Research Gaps

Sami Jaadar
, Hamid El Ghazi
, Mourad Oubrich
, Syed Mehmood Hasan

Department of Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Downloads (Pure)

Abstract

An important technological advancement impacting supply chain operations is the emergence of financial technologies (FinTech), including Blockchain (BC), Machine Learning (ML) and Artificial Intelligence (AI). Despite their importance, there are significant gaps in the understanding of their interactions in Supply Chain Management (SCM) domain.
In practice, these technologies are fundamentally changing supply chain functions by generating vast amounts of data from diverse sources such as planning systems, online platforms and social media. Through our present study of scientific literature published between 2019 and 2024, we provide significant insights that can help both researchers and industry professionals explore how these technologies can be integrated into Supply Chain. Our findings support organizations and decision makers in optimizing SCM operations based on AI to maintain competitive advantage.

Original language	English
Title of host publication	IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)
Publisher	IEEE Xplore
Pages	1-8
Number of pages	8
ISBN (Electronic)	978-1-6654-7808-3
ISBN (Print)	978-1-6654-7809-0
DOIs	https://doi.org/10.1109/ICTMOD66732.2025.11371931
Publication status	Published - 9 Feb 2026
Event	2025 IEEE International Conference on Technology Management, Operations and Decisions - University of Strathclyde, Glasgow, United Kingdom Duration: 20 Oct 2025 → 22 Oct 2025 https://ictmod-conference.com/?page_id=5555

Publication series

Name
ISSN (Print)	2372-7268
ISSN (Electronic)	2159-5119

Conference

Conference	2025 IEEE International Conference on Technology Management, Operations and Decisions
Abbreviated title	ICTMOD
Country/Territory	United Kingdom
City	Glasgow
Period	20/10/25 → 22/10/25
Internet address	https://ictmod-conference.com/?page_id=5555

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

FinTech
Artificial Intelligence
Supply Chain
Machine Learning
Block Chain
Data Analytics

Access to Document

10.1109/ICTMOD66732.2025.11371931

Accepted ManuscriptAccepted author manuscript, 289 KBLicence: CC BY

Cite this

@inproceedings{81a2b822ff80479d92bf6a16139d4fcb,

title = "FinTech and Artificial Intelligence in Supply Chain: Trends, Challenges, and Research Gaps",

abstract = "An important technological advancement impacting supply chain operations is the emergence of financial technologies (FinTech), including Blockchain (BC), Machine Learning (ML) and Artificial Intelligence (AI). Despite their importance, there are significant gaps in the understanding of their interactions in Supply Chain Management (SCM) domain. In practice, these technologies are fundamentally changing supply chain functions by generating vast amounts of data from diverse sources such as planning systems, online platforms and social media. Through our present study of scientific literature published between 2019 and 2024, we provide significant insights that can help both researchers and industry professionals explore how these technologies can be integrated into Supply Chain. Our findings support organizations and decision makers in optimizing SCM operations based on AI to maintain competitive advantage.",

keywords = "FinTech, Artificial Intelligence, Supply Chain, Machine Learning, Block Chain, Data Analytics",

author = "Sami Jaadar and \{El Ghazi\}, Hamid and Mourad Oubrich and Hasan, \{Syed Mehmood\}",

year = "2026",

month = feb,

day = "9",

doi = "10.1109/ICTMOD66732.2025.11371931",

language = "English",

isbn = "978-1-6654-7809-0",

publisher = "IEEE Xplore",

pages = "1--8",

booktitle = "IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)",

note = "2025 IEEE International Conference on Technology Management, Operations and Decisions , ICTMOD ; Conference date: 20-10-2025 Through 22-10-2025",

url = "https://ictmod-conference.com/?page\_id=5555",

}

Jaadar, S, El Ghazi, H, Oubrich, M & Hasan, SM 2026, FinTech and Artificial Intelligence in Supply Chain: Trends, Challenges, and Research Gaps. in IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE Xplore, pp. 1-8, 2025 IEEE International Conference on Technology Management, Operations and Decisions , Glasgow, United Kingdom, 20/10/25. https://doi.org/10.1109/ICTMOD66732.2025.11371931

TY - GEN

T1 - FinTech and Artificial Intelligence in Supply Chain

T2 - 2025 IEEE International Conference on Technology Management, Operations and Decisions

AU - Jaadar, Sami

AU - El Ghazi, Hamid

AU - Oubrich, Mourad

AU - Hasan, Syed Mehmood

PY - 2026/2/9

Y1 - 2026/2/9

N2 - An important technological advancement impacting supply chain operations is the emergence of financial technologies (FinTech), including Blockchain (BC), Machine Learning (ML) and Artificial Intelligence (AI). Despite their importance, there are significant gaps in the understanding of their interactions in Supply Chain Management (SCM) domain. In practice, these technologies are fundamentally changing supply chain functions by generating vast amounts of data from diverse sources such as planning systems, online platforms and social media. Through our present study of scientific literature published between 2019 and 2024, we provide significant insights that can help both researchers and industry professionals explore how these technologies can be integrated into Supply Chain. Our findings support organizations and decision makers in optimizing SCM operations based on AI to maintain competitive advantage.

AB - An important technological advancement impacting supply chain operations is the emergence of financial technologies (FinTech), including Blockchain (BC), Machine Learning (ML) and Artificial Intelligence (AI). Despite their importance, there are significant gaps in the understanding of their interactions in Supply Chain Management (SCM) domain. In practice, these technologies are fundamentally changing supply chain functions by generating vast amounts of data from diverse sources such as planning systems, online platforms and social media. Through our present study of scientific literature published between 2019 and 2024, we provide significant insights that can help both researchers and industry professionals explore how these technologies can be integrated into Supply Chain. Our findings support organizations and decision makers in optimizing SCM operations based on AI to maintain competitive advantage.

KW - FinTech

KW - Artificial Intelligence

KW - Supply Chain

KW - Machine Learning

KW - Block Chain

KW - Data Analytics

U2 - 10.1109/ICTMOD66732.2025.11371931

DO - 10.1109/ICTMOD66732.2025.11371931

M3 - Conference contribution

SN - 978-1-6654-7809-0

SP - 1

EP - 8

BT - IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)

PB - IEEE Xplore

Y2 - 20 October 2025 through 22 October 2025

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