Enhancing FMCG supply chain traceability and efficiency with blockchain technology implementation

Enhancing supply chain traceability and efficiency in the Fast-Moving Consumer Goods (FMCG) sector is critical for mitigating counterfeit losses and ensuring product integrity. This study proposes a comprehensive model for the implementation of blockchain technology tailored to the unique demands of the FMCG supply chain. The model emphasizes transparency, accountability, and real-time data sharing among stakeholders, including manufacturers, distributors, retailers, and consumers. By integrating blockchain, the FMCG industry can create a tamper-proof record of each transaction and product movement, significantly improving traceability from production to point-of-sale. Key components of the proposed model include a decentralized ledger that captures product information, provenance data, and transaction history. This approach facilitates efficient tracking of products, enhances supply chain visibility, and enables stakeholders to authenticate goods at any stage. Moreover, by employing blockchain’s smart contract functionality, the model allows for automated compliance verification and streamlined processes, reducing the time and resources required for audits and inspections. The study further explores potential extensions of blockchain technology to incorporate smart contracts that can automate various supply chain operations. These contracts can facilitate automatic payments upon delivery confirmation, trigger inventory replenishment orders based on real-time data, and enforce compliance with regulatory requirements without human intervention. By leveraging these technological advancements, FMCG companies can significantly reduce counterfeit losses and improve overall supply chain efficiency. This not only protects brand reputation but also fosters consumer trust, which is vital in an increasingly competitive market. The implications of this research highlight the transformative potential of blockchain technology in the FMCG sector, paving the way for future innovations in traceability and efficiency. In conclusion, this study presents a robust framework for blockchain implementation in the FMCG supply chain, addressing critical issues of traceability and counterfeiting while offering pathways for future enhancements through smart contracts.

Authors

Publication Details

Journal
Magna Scientia Advanced Research and Reviews
Published
2024-11-11
DOI
https://doi.org/10.30574/msarr.2024.12.2.0178
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing FMCG supply chain traceability and efficiency with blockchain technology implementation

Nsisong Louis Eyo-Udo, Onyeka Chrisanctus Ofodile, Abbey Ngochindo Igwe, Titilope Tosin Adewale et al.
1 citations
Magna Scientia Advanced Research and Reviews
Digital Transformation in Industry
0.35
article

Enhancing FMCG supply chain traceability and efficiency with blockchain technology implementation

Nsisong Louis Eyo-Udo, Onyeka Chrisanctus Ofodile, Abbey Ngochindo Igwe, Titilope Tosin Adewale, Amarachi Queen Olufemi-Phillips
article en
1 citations

Abstract

Enhancing supply chain traceability and efficiency in the Fast-Moving Consumer Goods (FMCG) sector is critical for mitigating counterfeit losses and ensuring product integrity. This study proposes a comprehensive model for the implementation of blockchain technology tailored to the unique demands of the FMCG supply chain. The model emphasizes transparency, accountability, and real-time data sharing among stakeholders, including manufacturers, distributors, retailers, and consumers. By integrating blockchain, the FMCG industry can create a tamper-proof record of each transaction and product movement, significantly improving traceability from production to point-of-sale. Key components of the proposed model include a decentralized ledger that captures product information, provenance data, and transaction history. This approach facilitates efficient tracking of products, enhances supply chain visibility, and enables stakeholders to authenticate goods at any stage. Moreover, by employing blockchain’s smart contract functionality, the model allows for automated compliance verification and streamlined processes, reducing the time and resources required for audits and inspections. The study further explores potential extensions of blockchain technology to incorporate smart contracts that can automate various supply chain operations. These contracts can facilitate automatic payments upon delivery confirmation, trigger inventory replenishment orders based on real-time data, and enforce compliance with regulatory requirements without human intervention. By leveraging these technological advancements, FMCG companies can significantly reduce counterfeit losses and improve overall supply chain efficiency. This not only protects brand reputation but also fosters consumer trust, which is vital in an increasingly competitive market. The implications of this research highlight the transformative potential of blockchain technology in the FMCG sector, paving the way for future innovations in traceability and efficiency. In conclusion, this study presents a robust framework for blockchain implementation in the FMCG supply chain, addressing critical issues of traceability and counterfeiting while offering pathways for future enhancements through smart contracts.

Magna Scientia Advanced Research and ReviewsVol. 12(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Digital Transformation in Industry
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.