The use of distributed ledger-based smart contracts in supply chain operations offers promising opportunities for process automation, improved data accessibility, and enhanced transparency. Despite technical progress, there remains a lack of comprehensive understanding regarding their implications. This scoping review consolidates current knowledge to examine how smart contracts affect supply chain structures and operations. The results highlight their potential to reduce intermediaries, foster trust, lower transaction costs, and support the shift towards decentralised and collaborative supply networks. The study contributes by identifying implementation challenges and synthesising both benefits and barriers. It also presents actionable recommendations, including aligning organisational processes, developing standards, and addressing behavioural factors. Finally, a research agenda is proposed to guide future studies and close gaps in empirical and conceptual understanding.
This study examines security risks, emerging technologies, and cryptographic techniques in cloud-based digital currency transactions using a quantitative research approach. Data was sourced from the REKT Database, Web3 Security Report, and Elliptic Open Dataset, employing descriptive statistical analysis, regression modeling, and time-series analysis to assess security vulnerabilities, fraud reduction trends, and regulatory compliance effectiveness. Findings reveal that AI-driven security measures reduced fraud cases by 55% from 2022 to 2025, while illicit transactions declined from 12.5% in 2019 to 6.1% in 2023, demonstrating the impact of cryptographic advancements and regulatory interventions. However, cybercriminals are shifting toward high-value, precision-based attacks, necessitating an integrated security framework. This study contributes to AI-driven security, cryptographic resilience, and regulatory compliance in cloud-based digital transactions. By analyzing emerging threats and security frameworks, it offers valuable insights for researchers, policymakers, and financial institutions. The findings aid in developing robust fraud detection, post-quantum cryptography, and regulatory strategies to enhance digital financial security. This research bridges technological advancements with compliance measures, ensuring a more resilient and secure cloud-based cryptocurrency ecosystem. The study recommends enhancing AI fraud detection with cryptographic security models, adopting post-quantum cryptography, strengthening regulatory compliance, and implementing zero-trust security models to ensure long-term resilience in cloud-based financial ecosystems.
This study presents a comprehensive systematic review of Artificial Intelligence (AI) applications in DecentralizedFinance (DeFi), emphasizing AI’s pivotal role in mitigating the vulnerabilities and operational complexities inherentin permissionless financial systems. By systematically analyzing 39 peer-reviewed studies from major scholarlydatabases, the review identifies five dominant application domains: fraud detection, smart contract security, marketprediction, credit risk assessment, and decentralized governance. It examines the diverse range of AI methodsspanning machine learning, deep learning, graph neural networks, and reinforcement learning—and evaluates theircomparative performance and limitations. The findings reveal that AI not only enhances DeFi’s transparency, trust,and efficiency but also underpins emerging capabilities such as autonomous governance and adaptive marketmechanisms. Persistent challenges including data scarcity, cross-chain generalization, interpretability, andscalability—underscore the need for robust, explainable, and ethical AI solutions. The review concludes that AIconstitutes a foundational enabler for secure, transparent, and resilient decentralized financial ecosystems, andoutlines critical future research directions for integrating trustworthy intelligence into the evolving DeFi landscape. (PDF) A Systematic Review on the Application of Artificial Intelligence in Decentralized Finance. Available from: https://www.researchgate.net/publication/397514996_A_Systematic_Review_on_the_Application_of_Artificial_Intelligence_in_Decentralized_Finance [accessed Nov 11 2025].
Afrida Putritama, Sony Warsono, Syaiful Ali, Wuri Handayani
This study examines the transformative role of blockchain technology in accounting through a literature review of 99 articles sourced from the Scopus database. The research highlights three primary themes: blockchain’s impact on accounting practices, its implications for auditing, and its influence on financial reporting. Using a structured three-step framework – data collection, analysis, and synthesis – this study identifies key trends, research gaps, and future research directions. The findings demonstrate that blockchain enhances data transparency, security, and efficiency while introducing challenges related to integration, regulatory frameworks, and adoption by accounting professionals. This literature review underscores the potential of blockchain to revolutionize accounting through innovations like triple-entry accounting while highlighting the need for standardized guidelines and deeper empirical research. The study provides insights for academics, practitioners, and policymakers seeking to navigate the integration of blockchain technology in accounting systems.
The integration of blockchain-enabled smart contracts into marketing workflows offers a transformative pathway toward achieving transparency, accountability, and verifiable performance across digital advertising ecosystems. Traditional marketing operations are often plagued by data asymmetry, opaque intermediaries, and unverifiable metrics that undermine trust between stakeholders. Blockchain technology—through its decentralized, immutable ledger—provides a secure infrastructure for recording and validating every transaction and engagement metric, from ad impressions to affiliate payouts. Smart contracts automate contractual obligations, such as real-time budget allocation, campaign execution, and influencer compensation, based on predefined criteria embedded within the blockchain network. This automation minimizes fraud, reduces administrative costs, and enforces compliance without relying on third-party verification. Furthermore, integrating blockchain with advanced analytics and IoT devices enables end-to-end visibility of consumer interactions and supply chain provenance in omnichannel marketing. This review critically examines the architectural frameworks, interoperability protocols, and governance mechanisms underpinning blockchain-driven marketing systems. It also explores emerging trends in decentralized advertising networks, tokenized engagement incentives, and regulatory considerations shaping adoption. By evaluating existing research and case studies, the paper highlights the potential and challenges of deploying blockchain-enabled smart contracts to achieve verifiable, trust-based, and performance-optimized marketing ecosystems.
Cryptocurrencies have become one of the most disruptive financial innovations, attracting widespread interest worldwide. Despite their growing popularity, the risks associated with the use of cryptocurrencies remain a significant barrier to their adoption. Therefore, this paper examines the impact of perceived risks on international students’ cryptocurrency investment behavior. Results indicate that financial and regulatory risks are major barriers, while operational risks are less influential. Interestingly, security risks positively influence investment when perceived rewards or risk management capabilities are considered. Risk tolerance and cryptocurrency knowledge are strong positive predictors, highlighting the role of financial education in fostering adoption. The results suggest the implementation of specific policies that address perceived risk factors and improve financial literacy among younger generations of investors to support informed and responsible participation in cryptocurrency markets. Keywords: Cryptocurrency Investments, Perceived Risks, Investments Behavior.
Zainab S. Attarbashi, Akram M. Zeki, ME Haque, Md Hossen
ينمو إنفاق المسلمين على المنتجات الحلال بنسبة 6.3% سنويا، حيث وصل إلى 2 تريليون دولار هذا العام 2024. ويأتي توريد المنتجات الحلال من أجزاء مختلفة من العالم من مورّدين مسلمين وغير مسلمين. وقد أدى ذلك إلى زيادة قلق المستهلكين المسلمين بشأن مصداقية الادعاءات الحلال بسبب عدم القدرة على تتبع المنتجات عبر سلسلة التوريد. ومع ذلك، لا يمكن لنماذج سلسلة التوريد الحالية تتبع هذه المنتجات الغذائية طوال سلسلة التوريد من المزرعة وطوال عملية النقل. يهدف هذا البحث إلى تحقيق هدفين رئيسيين: الأول هو تقييم وعي المستهلكين بتطبيقات تقنية سلاسل الكتل (blockchain) في صناعة المنتجات الحلال، والثاني هو تطوير نموذج لامركزي لتتبع المنتجات الحلال باستخدام تقنية سلاسل الكتل لتمكين التسجيل الشفاف وغير القابل للتلاعب بالبيانات المتعلقة بالمنتجات الحلال، بما في ذلك معلومات المنشأ والجودة والتعامل والمعالجة. سيؤدي ذلك إلى تحسين شفافية سلسلة التوريد، وتعزيز كفاءة حفظ السجلات، وتعزيز سلامة الأغذية وضمان الجودة، وتمكين التتبع الشامل، وبناء ثقة المستهلك. يتضمن تطوير نموذج سلسلة التوريد الحلال استخدام العقود الذكية وتقنيات التشفير وتحليلات البيانات. تم استخدام منصة تطوير Ethereum 2.0 blockchain وWeb3.js بشكل تفاعلي لتنفيذ نموذج أولي للنظام. تظهر نتائج اختبار النظام المطبق قابلية توسع ملحوظة، وإدارة الأحمال المرتفعة دون التضحية بالكفاءة. بالإضافة إلى ذلك، أظهرت إجراءات الاختبار مدى التزام النظام بالمبادئ التوجيهية والمعايير المحددة مسبقًا، مما يعزز الثقة في الجودة العامة للنظام.
The accelerating convergence of Cloud computing and the Internet of Things (IoT) has revolutionized data-driven services, yet it has also introduced a significant trust deficit in highly regulated sectors such as healthcare and finance. Traditional architectures, characterized by static security protocols and reactive monitoring, are increasingly inadequate for protecting sensitive medical records and financial assets against sophisticated cyber-threats and operational anomalies. This review article proposes a "Cognitive Cloud–IoT Architecture" that integrates human-like reasoning, self-learning, and context-aware decision-making into the data exchange process. We evaluate a multi-layered framework comprising an intelligent perception layer, a cognitive middleware reasoning engine, and a secure cloud core designed to establish objective trust through continuous verification. The study analyzes key mechanisms for trustworthy exchange, including Zero-Knowledge Proofs (ZKP), blockchain-enabled immutable ledgers, and privacy-preserving federated learning. In the healthcare domain, we examine the application of "cognitive patients" through remote monitoring systems that differentiate between sensor noise and clinical emergencies. In the financial sector, we explore the "cognitive ledger" for autonomous fraud forensics and secure cross-border settlements. Furthermore, the article addresses critical strategic challenges, such as the computational overhead of running cognitive models on edge devices and the legal necessity of algorithmic explainability. By synthesizing future trends, including quantum-safe hybridization and sovereign cognitive clouds, this research provides a comprehensive roadmap for developing resilient, intelligent ecosystems. Ultimately, we demonstrate that cognitive architecture is the essential bridge to an "invisible intelligence" that ensures the integrity of human life and global financial stability in an increasingly connected world.
Blockchain technology can drastically reduce the costs associated with claim verification in the insurance and Takaful industry while increasing trust among involved parties through smart contracts and a shared source of truth. This study examines whether Takaful operators and insurance companies apply blockchain differently and explores the benefits of blockchain technology and smart contracts for both. It conducts a systematic review of relevant literature and a meta-analysis to assess how current studies describe and combine cases as evidence. The results indicate that Takaful and insurance companies that use smart contracts experience a reduction in fraudulent claims, increased transparency, enhanced connections between involved parties, and automation of claim payments with minimal human intervention. The analysis reveals no difference in the application of blockchain technology between the two types of operators, despite the distinct operating contracts of Takaful and conventional insurance.
Despite the growing interest in blockchain for supply chain transparency, a gap remains in understanding consumer perceptions and attitudes toward blockchain-supported initiatives. This study examines how consumers perceive blockchain's role in enhancing supply chain transparency, the factors influencing consumer trust in blockchain-enabled transparency, and the implications for consumer engagement and behaviour within the supply chain network. Through a scenario-based experiment, we find that technology-supported transparency enhances consumer trust not only in the focal firm but also in various stakeholders involved. Specifically, consumers exhibit higher trust in retailers and other stakeholders when firms adopt decentralised transparency systems compared to centralised ones. Decentralised technology-supported transparency significantly influences consumers’ decisions to interact directly with stakeholders, shifting their preference toward responsible supply chain actors over focal firms. While multi-stakeholder transparency does not directly affect consumers’ purchase intentions, high trust in the technology positively influences their intention to purchase. Our study provides actionable managerial insights, guiding decision-makers in adopting decentralised transparency practices to strengthen stakeholder relationships and align with consumer expectations. By understanding the nuances of consumer trust in technology-supported transparency, firms can make more informed strategic decisions, ultimately enhancing the overall performance of their supply chains.
Blockchain technology has rapidly evolved from its origins in cryptocurrency to become a fundamental element across diverse sectors demonstrating its potential to transform traditional processes. Blockchain technology is a decentralized digital ledger system that securely records and verifies transactions across a network of computers, fostering transparency and trust without the need for intermediaries. This review paper examines the multifaceted applications of blockchain technology highlighting its capabilities in enhancing transparency, security and efficiency. Key applications include financial services where blockchain facilitates faster and more secure transactions through smart contracts and decentralized finance platforms. The healthcare sector benefits from blockchain's ability to securely manage patient data ensuring compliance with regulations while improving accessibility for authorized providers. Blockchain technology enhances business operations by enabling smart contracts that automate transactions and reduce the need for intermediaries, leading to cost savings and increased efficiency. In government, blockchain can improve public trust and transparency by providing secure, tamper-proof voting systems that ensure the integrity of electoral processes. Individuals can maintain greater control over their personal information allowing them to share data selectively while ensuring privacy and reducing the risk of data breaches. This paper emphasizes the significant impact of blockchain technology across various sectors. It calls for cooperation among different stakeholders to make the most of its advantages while addressing its risks. As blockchain continues to develop, it has the potential to change economic systems and improve efficiency worldwide.
The healthcare supply chain encounters difficulties with transparency, efficiency, and security, which have an impact on patient safety and the quality of treatment concerning the items involved. The use of blockchain technology, which has intrinsic characteristics such as confidentiality, transparency, and traceability, offers a possible resolution to tackle these problems. This paper aims to comprehensively review the adoption of blockchain technology in healthcare supply chain management, particularly in response to the challenges posed by the COVID-19 pandemic. It investigates the significance of efficient and transparent healthcare supply chains, focusing on blockchain's application in vaccine distribution, Personal Protective Equipment (PPE), drugs, medical devices and blood products. The analysis critically evaluates research papers proposing innovative blockchain-powered solutions, discussing their benefits, challenges, and the need for further research. Findings highlight blockchain's potential in enhancing vaccine traceability, preventing counterfeit vaccines, and ensuring equitable access to immunization. It also outlines blockchain's role in real-time tracking of PPE shipments, secure distribution of medical devices, managing blood products, and combating counterfeit drugs. The paper also emphasizes the prevalence of consortium-based and public blockchain implementations and the importance of smart contracts while advocating for addressing scalability and technological challenges. This review offers a critical assessment of blockchain's potential in fortifying healthcare supply chains during crises, underscoring the need for ongoing research and development to overcome implementation limitations. Doi: 10.28991/HIJ-2024-05-04-019 Full Text: PDF
"A distributed database that maintains an ever-expanding list of ordered records, called blocks," is how a blockchain is defined.These parts are connected by the use of cryptography. A timestamp contain by each, the preceding block of a cryptographic hash , and with a transaction information. Also we can say that distributed, public, decentralized digital ledger that keeps track of transactions across several computers is called a blockchain. Its goal is to stop record tampering without interfering with network consensus or all subsequent blocks. Because blockchain and smart contracts are developed using non-standard software life cycles, there may be security flaws and difficulties in getting users to adopt the technology. For instance, distributed applications may not receive regular updates or may have bugs that can only be fixed by releasing a new version. A detailed review of smart contracts was covered in this publication. In terms of security, privacy, communication channel, etc., it further differentiated and contrasted the security of smart contracts with that of traditional security. This study also discusses other smart contract systems, including Stellar, Monax, Ethereum, Bitcoin, and Lisk. For smart contracts certain suggested methods are applied in various contexts to address security risks. Furthermore, also smart contract classification of the security application was put out in an effort to address some of the shortcomings. Additionally, the paper offers a thorough security scenario for smart contracts using several methods. Finally, the dangers and weaknesses of the smart contracts that might lead to an attack are listed. Here we can find and focuses on security risks and weaknesses specific to smart contracts.
Peng Guan, Lincoln C. Wood, Jason X. Wang, Linh Duong
The global port industry, known for its historical resistance to technological advancements, now faces a pivotal moment in the age of blockchain innovation. This systematic literature review provides an in-depth investigation into the adoption of blockchain technology within the port industry, aiming to assess the current state of knowledge, identify areas lacking research attention, and emphasize emerging research avenues by analyzing a corpus of 316 articles. Our review employs a robust framework centered around four key themes: barriers to adoption, the port’s role in global value chains, sustainability considerations, and practical implementations of blockchain technology in ports. By analyzing these themes, we can gain valuable insights into the distinctive nature of the port industry and its potential transformation through blockchain technology. Theoretical contributions from this review emphasize adopting a Practice-Based View (PBV) perspective to examine the intricate interplay between barriers and practices in blockchain adoption. Furthermore, our innovative synthesis of the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework sheds light on internal and external obstacles shaping the adoption landscape. A noteworthy aspect of this review is the recognition of the critical need to align theoretical frameworks with the unique characteristics of the port industry, emphasizing the importance of contextual relevance in research pursuits. It also highlights the scarcity and fragmentation of research in the domain of the port industry, encouraging future scholars to investigate the identified research gaps and theoretical perspectives. This article reveals that utilizing blockchain technology within ports can enhance the sustainability performance of the port industry.
Medina Ayta Mohammed, Carmen De‐Pablos‐Heredero, José Luis Montes Botella
Blockchain technology and its business applications have attracted considerable scholarly interest, leading to a surge in academic studies. While this wealth of research is beneficial, it also poses challenges in identifying the most relevant publications. Despite the availability of survey articles, research on this topic remains fragmented and concentrates on specific industrial sectors. This review addresses this gap by providing a detailed literature analysis, highlighting key themes, recent advancements, the benefits of blockchain adoption for businesses, and associated challenges. This study employs a multi-method literature review approach called bibliometric systematic literature review (B-SLR), combining bibliometric analysis with systematic literature review (SLR) techniques. This review critically examines studies of blockchain adoption in modern business from 2017 to 2023. Our findings reveal a decline in academic publications on blockchain for businesses since 2023, along with a shift in core themes from traditional supply chains to exploring blockchain’s role in environmentally sustainable supply chains, such as reverse logistics, green supply chains, and the circular economy. Additionally, there is an emerging focus on the role of blockchain in virtual environments, such as the metaverse and digital twins. Drawing from our analysis, we also present a theoretical framework and highlight ten crucial areas for future research.
ABSTRACT Blockchain technology adoption has gained significant attention from researchers due to its potential transformative impacts across various industries. This study aims to provide a comprehensive understanding of the adoption of blockchain technology and its strategic implications for firms. This paper uses bibliometric analysis to identify influential articles, journals, authors, countries, and the thematic focus of articles. Further, this paper uses the TCCM framework to identify frequently used theories, characteristics, contexts, and methodologies of blockchain adoption. The most popular research areas are supply chain, finance, banking, agriculture, and health care. This study has provided a novel understanding of the antecedents for adopting blockchain technology including technology‐specific, organization‐specific, environment‐specific, and psychological factors and its strategic outcomes. Blockchain adoption results in the achievement of competitive advantage, sustainable and superior performance, and the creation of new value for customers. Future researchers can gain an understanding of the existing trends and knowledge related to blockchain adoption with a strategic perspective. Specific research questions are framed to advance knowledge in this domain by future researchers. Further, a unique conceptual model a from strategic perspective is proposed, that can serve as a foundation for future empirical and theoretical analysis. Managers and practitioners should consider strategic antecedents associated with blockchain technology adoption to gain a competitive advantage.
This study addresses the growing importance of promoting blockchain technology and cryptocurrency adoption within the financial sector, particularly among Malaysian millennials. Despite its significance, there is limited research on millennials' acceptance of blockchain-based financial transactions in Malaysia. This study aims to bridge this gap by exploring critical behavioural factors that impact cryptocurrency usage within this demographic. To gather insights, a survey was conducted among Malaysian millennials, resulting in 110 fully completed questionnaires, which were analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM 4.0). The findings reveal four primary drivers influencing millennials’ adoption of blockchain-based applications: security and control, transaction processing, perceived usefulness, and attitude. Notably, attitude emerged as the most influential factor, explaining 71.6 percent of the variance in cryptocurrency acceptance. These results underscore the complex interplay of factors that shape millennials' acceptance of blockchain technology and cryptocurrency in financial transactions. Consequently, identifying these acceptance factors is crucial for industry players seeking to understand and cater to millennials’ preferences in digital finance. To support these insights, this study proposes an innovative model that integrates the Technology Acceptance Model (TAM) with specific external variables related to blockchain technology characteristics, such as security control and transaction processing, providing a comprehensive framework for future research and industry applications.
In today’s world, the safety of children is of utmost importance due to numerous compelling factors, for example, accidents and injuries. In this fast-paced lifestyle of the new age parents, they might not always be able to accompany their children everywhere therefore the need for the tracking of the child including safety considerations and also the parent’s desire to stay connected with their child and in the absence of the parents the guardian of the child can look up for the safety of the child. This paper presents an implementation of the smart bag for toddlers which is built using blockchain technology and language solidity that ensures the tracking facility of the child. blockchain is the decentralized ledger technology that provides transparency and security between the networks. Therefore we have created a digital contract known as the smart contract on blockchain technology named a smart bag for toddlers. A smart contract is a digital agreement that is signed and stored on the blockchain and executes automatically when its terms and conditions are met.
Aim: This study aims to explore the integration of agentic artificial intelligence (AI) into high-volume payment systems to enhance resilience, autonomy, and operational efficiency. It investigates how autonomous decision-making capabilities can strengthen financial infrastructures against disruptions, fraud, and scalability challenges. The objective is to conceptualize an “autonomous ledger” framework capable of adaptive learning and real-time response. Emphasis is placed on addressing latency, fault tolerance, and system recovery in digital payment ecosystems. The research also seeks to bridge gaps between traditional ledger systems and AI-driven automation. Ultimately, the aim is to redefine payment resilience through intelligent, self-governing systems. Method: The research adopts a hybrid methodological approach combining system architecture design, simulation modeling, and comparative analysis. Agent-based modeling techniques are used to simulate AI-driven transaction environments under high-volume conditions. The study integrates distributed ledger technology (DLT) principles with reinforcement learning agents to evaluate decision autonomy. Data is analysed across stress-test scenarios including transaction surges, cyber threats, and node failures. Additionally, existing payment infrastructures are benchmarked against proposed AI-integrated models. This methodological framework ensures both theoretical and applied insights into system performance. Results: Findings indicate that agentic AI significantly improves payment system resilience by enabling predictive failure detection and autonomous recovery mechanisms. The autonomous ledger demonstrates reduced transaction latency and enhanced throughput during peak loads. AI agents effectively mitigate fraud risks through continuous behavioural analysis and anomaly detection. System simulations show improved fault tolerance with minimal downtime compared to conventional systems. Furthermore, adaptive learning allows the system to optimize routing and settlement processes dynamically. These results validate the feasibility of integrating AI-driven autonomy into financial infrastructures. Conclusion: The study concludes that the autonomous ledger represents a transformative advancement in payment system design. Integrating agentic AI enhances resilience, scalability, and operational intelligence. Financial institutions can benefit from reduced systemic risks and improved efficiency. However, challenges related to governance, explainability, and regulatory compliance remain critical. Future research should focus on ethical AI deployment and cross-border interoperability. Overall, the autonomous ledger provides a robust foundation for next-generation payment ecosystems.
Purpose This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively. Design/methodology/approach This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices. Findings After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers. Practical implications The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements. Originality/value This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.
Blockchain technology is proving to be a disruptive technology in many areas of supply chain, manufacturing, medical, agriculture, and so on. Warehouses are an inevitable part of the supply chain. Issues like space optimization, route optimization, quick item pick-up, demand forecasting, and transaction management are of importance to address in warehouse management systems (WMS). Traditional database systems have limitations of interoperability among different entities involved in warehouses. This paper presents an innovative application of blockchain technology and machine learning (ML) to build a smart warehouse management system in Web3 (SWMW3). We developed a decentralized application (DApp) using Web3.0 principles, integrating ReactJS for the frontend, express for the backend, and blockchain through smart contracts. This integration enhances security and transparency by storing WMS operational data in the blockchain and automating payments and verifications through smart contracts. Additionally, we implemented a ML model for predicting the total time from order receipt to delivery, leveraging historical data to optimize workflow, reduce delays, and improve overall efficiency. This combination of blockchain for secure transactions and ML for predictive analytics generates a robust, efficient, and optimized management system for the warehouse.
Jayesh Rane, Ömer Kaya, Suraj Kumar Mallick, Nitin Liladhar Rane
The swift progress of technology has revolutionized the service industry, empowering companies to augment customer contentment and allegiance by means of inventive resolutions. In order to improve service quality, this research investigates the integration of ChatGPT, Blockchain, Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML). Through process automation, real-time support, and preference prediction, artificial intelligence (AI) and machine learning (ML) enable tailored customer experiences. Through smart devices, IoT improves customer interactions and provides seamless, connected service environments. Long-term customer relationships depend on trust, data security, and transparency, all of which are enhanced by blockchain technology. Meanwhile, businesses can anticipate needs and optimize service delivery thanks to Big Data's deep insights into customer behaviour. ChatGPT is an AI language model that simulates human-like communication and instantly responds, revolutionizing customer engagement. It increases overall satisfaction, decreases wait times, and improves the effectiveness of customer service. By utilizing these state-of-the-art technologies, companies can strengthen their bonds with clients, increasing client satisfaction and loyalty.