The Evolution of Data-Driven Supply Chain Finance Solutions

The evolution of supply chain finance has entered a transformative phase driven by data analytics, artificial intelligence, and digital technologies. This article examines how these innovations are reshaping financial relationships between buyers, suppliers, and financial institutions in supply chains worldwide. It explores the core data technologies revolutionizing supply chain finance, including ERP integration, advanced analytics, and automated financing platforms. The article further investigates how artificial intelligence and machine learning applications enhance credit risk assessment, enable dynamic pricing models, improve fraud detection, and streamline document processing through natural language processing. Additionally, it analyzes the impact of blockchain and distributed ledger technologies in automating payments through smart contracts, expanding access to financing through tokenization, and providing end-to-end traceability. While highlighting the significant benefits of these technologies, the article also addresses implementation challenges related to data quality, system integration, and change management requirements, offering insights for organizations seeking to optimize their supply chain finance operations in an increasingly digital ecosystem.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-25
DOI
https://doi.org/10.32996/jcsts.2025.7.2.47
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Evolution of Data-Driven Supply Chain Finance Solutions

Hema Madhavi Kommula
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
article

The Evolution of Data-Driven Supply Chain Finance Solutions

Hema Madhavi Kommula
article en

Abstract

The evolution of supply chain finance has entered a transformative phase driven by data analytics, artificial intelligence, and digital technologies. This article examines how these innovations are reshaping financial relationships between buyers, suppliers, and financial institutions in supply chains worldwide. It explores the core data technologies revolutionizing supply chain finance, including ERP integration, advanced analytics, and automated financing platforms. The article further investigates how artificial intelligence and machine learning applications enhance credit risk assessment, enable dynamic pricing models, improve fraud detection, and streamline document processing through natural language processing. Additionally, it analyzes the impact of blockchain and distributed ledger technologies in automating payments through smart contracts, expanding access to financing through tokenization, and providing end-to-end traceability. While highlighting the significant benefits of these technologies, the article also addresses implementation challenges related to data quality, system integration, and change management requirements, offering insights for organizations seeking to optimize their supply chain finance operations in an increasingly digital ecosystem.

Journal of Computer Science and Technology StudiesVol. 7(2)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
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The Evolution of Data-Driven Supply Chain Finance Solutions — Hema Madhavi Kommula · Journal of Computer Science and Technology Studies (2025) | TGRS Research Map | TGRS