Blockchain Based Supply Chain and Finance Reconciliation Frameworks in SAP Environments

This article presents a blockchain reconciliation framework that improves transparency, automation, and trust within the SAP supply chain and finance processes. The implemented system with smart contracts on SAP modules FI, MM, and SD permits real-time verification of supply chain activities and financial transactions, thus minimizing manual matching and third-party verification processes. The framework enables automated three-way matching and updates across modules by storing transaction states in a distributed ledger that captures changes. Based on experiments conducted using SAP simulation data, the accuracy of reconciliations increased by 92%, processing time was cut by 41%, and manual processing steps were reduced by 67%. The results demonstrate the capability of blockchain technology to solve pervasive challenges related data integrity and reconciliation within enterprise ERP systems.

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Publication Details

Journal
Research Briefs on Information and Communication Technology Evolution
Published
2024-12-30
DOI
https://doi.org/10.69978/rebicte.v10i.206
Citations
5
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.90
Controls
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article

Blockchain Based Supply Chain and Finance Reconciliation Frameworks in SAP Environments

Nagendra Harish Jamithireddy
5 citations
Research Briefs on Information and Communication Technology Evolution
Blockchain Technology Applications and Security
3.90
article

Blockchain Based Supply Chain and Finance Reconciliation Frameworks in SAP Environments

Nagendra Harish Jamithireddy
article en
5 citations

Abstract

This article presents a blockchain reconciliation framework that improves transparency, automation, and trust within the SAP supply chain and finance processes. The implemented system with smart contracts on SAP modules FI, MM, and SD permits real-time verification of supply chain activities and financial transactions, thus minimizing manual matching and third-party verification processes. The framework enables automated three-way matching and updates across modules by storing transaction states in a distributed ledger that captures changes. Based on experiments conducted using SAP simulation data, the accuracy of reconciliations increased by 92%, processing time was cut by 41%, and manual processing steps were reduced by 67%. The results demonstrate the capability of blockchain technology to solve pervasive challenges related data integrity and reconciliation within enterprise ERP systems.

Research Briefs on Information and Communication Technology EvolutionVol. 10
The University of Texas at Dallas (US)
Openalex Percentile: Top 5%
Blockchain Technology Applications and Security
3.90
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