Predictive analytics
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Business Intelligence and Predictive Analytics for AgribusinessSupply Chain Optimization: A Data-Driven Approach toSustainable Agricultural Management
Abstract: The rapid changes due to Digital Transformation in agriculture have opened up new possibilities to improve the performance of supply chain, decisions making and sustainability of agrifood industry using Business Intelligence (BI) and Predictive Analytics. Agrifood supply chains encounter a number of difficulties, such as, price fluctuations, uncertainty related to demand for products; loss after harvest; lack of resources; poor use of resources; and, absence of market knowledge. This research …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 Read article
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Leveraging AI for Smart Supply Chain Optimization
Abstract: Supply chain management is a critical component of modern businesses, requiring efficiency, accuracy, and adaptability to meet evolving market demands. It is decision-making, automating processes, and predicting demand with high accuracy. This section analyses artificial intelligence technologies including predictive analytics and machine learning and intelligent automation because they enhance supply chain operational output. All administrative functions including real-time tracking together with forecasting and inventory management along with route optimization create …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 Read article
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MQL Propensity Model to Predict Marketing Qualified Leads
Abstract: In the evolving landscape of digital marketing, accurately identifying high-potential leads remains a critical challenge due to increasing data complexity and fragmented analytical systems. This study proposes a comprehensive framework for developing a Marketing Qualified Lead (MQL) Propensity Model aimed at enhancing lead prediction accuracy and operational efficiency. By critically examining existing lead scoring methodologies across Customer Relationship Management (CRM) systems, web analytics platforms, and campaign management tools, the research …
Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 2, 2026 Read article
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AI-Assisted Personal Finance Management System with Real-Time Budget Alerts and Smart Expense Categorization
Abstract: This study presents the design and conceptual development of an AI-assisted Personal Finance Management System (PFMS) that integrates artificial intelligence, machine learning, and behavioral finance principles to enhance individual financial decision-making. The proposed system aims to address limitations of traditional financial tracking tools by incorporating real-time budget alerts, intelligent expense categorization, and predictive analytics to deliver personalized financial insights. By leveraging Natural Language Processing (NLP) and pattern recognition techniques, the …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article
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The Future of Management Accounting: Integrating Artificial Intelligence, Big Data, and Predictive Analytics for Business Optimization
Abstract: This study examines the future of management accounting through the integration of Artificial Intelligence (AI), Big Data, and Predictive Analytics as key drivers of business optimization. The research aims to evaluate how these emerging technologies enhance decision-making efficiency, improve financial forecasting accuracy, and support cost reduction strategies in modern organizations. Adopting a secondary data analysis approach, the study synthesizes global industry reports, empirical studies, and statistical data from 2020 to …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article
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Leveraging Artificial Intelligence for Intelligent Risk Management in Small-Scale IT Projects
Abstract: Small-scale information technology (IT) projects are important in ensuring agility to the organization but portend very high mortality rates. Conventional, manual risk management models are usually highly simplistic and reactive in nature and they cannot fit the Agile/DevOps world of small and medium enterprises (SMEs) due to the lack of sufficient data, which is the central focus of this paper.1 Although Artificial Intelligence (AI) has the needed paradigm shift in …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 1, 2026 Read article
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Transforming Human Resource Management in the Age of Artificial Intelligence: Emerging Technologies, Ethical Challenges, and Future Directions – A Case Study of Indian Railways
Abstract: The adoption of Artificial Intelligence (AI) has emerged as a transformative force in public sector organizations, particularly in large-scale systems like Indian Railways, where complex human resource operations demand efficiency, accuracy, and transparency. This study examines the application of AI in payroll management and broader Human Resource Management (HRM) functions within Indian Railways, highlighting its role in optimizing administrative processes and strategic decision-making. Data-driven insights indicate that AI-enabled payroll systems …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 9, Issue 1, 2026 Read article