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14 articles for “Demand Forecasting”
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Enhancing agriculture supply chains through regional demand forecasting with Machine Learning Algorithms
Abstract: With the stats analysis of 2014 of Our Country Agricultural supply chain faces a significant inefficiencies as the intermediate stakeholders capture the large portion of the value, in this scenario farmers only earn about 31 to 43 percent of final market price. This imbalance contributes to higher consumers expenditures and unequal income distribution and substantial post harvest waste. To tackle these challenges this research introduces kisaankart which is a machine …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 1, 2026 · pp. 8–15 Read article
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Enhancing Demand Forecasting in Supply Chains Through Deep Learning Techniques
Abstract: Demand forecasting is critical in supply chain management, particularly for perishable goods, where inaccurate predictions can lead to significant financial losses and wastage. This paper explores the application of advanced deep learning techniques for food demand forecasting to optimize inventory management, reduce stockouts and overstock situations, and improve overall supply chain efficiency. By employing architectures such as LSTM, Bi-LSTM, Stacked-LSTM, and Transformer-based models, this research demonstrates the transformative potential of …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 8, Issue 2, 2025 · pp. 1–8 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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Integration of Forecasting in Supply Chain Forecasting and Supply Chain Planning
Abstract: Big corporates nowadays see forecasting in a light different from that was seen decades ago. The topnotch strategists came to realize that demand forecasting in and of itself was not particularly helpfulfor a company. During the surveys they came across many companies that were pretty good atforecasting, but they still struggled with their inventories, fill rates, and costs. The reason theystruggled with these problems was not that they were not …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 4, Issue 1, 2021 Read article
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Integration of Forecasting in Supply Chain Forecasting and Supply Chain Planning
Abstract: Big corporates nowadays see forecasting in a light different from that was seen decades ago. The top- notch strategists came to realize that demand forecasting in and of itself was not particularly helpful for a company. During the surveys they came across many companies that were pretty good at forecasting, but they still struggled with their inventories, fill rates, and costs. The reason they struggled with these problems was not …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management Read article
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Artificial Intelligence in Retail: Redefining Consumer Expectations and Retail Innovation
Abstract: This study offers an updated and comprehensive perspective on the integration of artificial intelligence (AI) within the retail sector and its transformative impact on modern commerce. The rapid expansion of digital technologies, combined with the dominance of global technology leaders such as Amazon, Alibaba, Apple, Google, and Microsoft, has significantly elevated consumer expectations and redefined retail dynamics. AI technologies, including machine learning, predictive analytics, and automation, enable retailers to process …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 · pp. 1–8 Read article
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Optimizing Supply Chain Efficiency Using Operational Research Techniques
Abstract: This article delves into the optimization of supply chains and explores what it takes to enhance operational efficiency and effectiveness. Because it enables the smooth transfer of resources, information, and commodities from suppliers to customers, supply chain management is essential for enterprises. Nonetheless, supply chains often face challenges such as product oversight, market fluctuations, shipping expenses, and collaboration among stakeholders. This article seeks to illustrate how various strategies and techniques—like …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 8, Issue 1, 2025 · pp. 39–49 Read article
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An Overview on the Application of Artificial Intelligence (AI) in Sustainable Supply Chain
Abstract: Artificial intelligence (AI) has emerged as a crucial facilitator of supply chains (SC), playing a vital role in monitoring SC competitiveness and management. Consequently, AI has gained significant recognition in the field of management. However, there is a lack of comprehensive academic research focusing on specific AI techniques. Our study specifically targets the most prevalent artificial intelligence techniques in supply chain management. AI is widely acknowledged for its significant contribution …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 7, Issue 2, 2024 Read article
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A study on inventory management in Surya Min Chem Pvt. Ltd. DELHI
Abstract: This study examines inventory management practices at Surya Min Chem Pvt. Ltd., a private limited company operating in the chemical and mineral manufacturing sector in Delhi. The research aims to evaluate existing inventory control systems, assess their effectiveness, and identify areas for improvement within a chemical manufacturing environment where safety, regulatory compliance, and operational continuity are critical. A descriptive and exploratory research design was adopted. Primary data were collected from …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 1, 2026 · pp. 31–47 Read article
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Analyzing Impact of Managerial Economics
Abstract: Economics impacts our day-to-day lives. Economics influences the decisions taken by the managers of business firms or organizations. Any business is a part of an economy. Economic conditions heavily affect the business activities and vice-versa. The per capita income of the citizens will define their purchasing power on the basis of which, the business enterprises will decide what products to be manufactured and sell. A new enterprise has to forecast …
Published in NOLEGEIN Journal of Performance Management & Retention Strategies · Vol. 3, Issue 1, 2020 · pp. 18–22 Read article
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Artificial Intelligence in Supply Chain Management
Abstract: Every company's long-term sustainability depends on an effective supply network. Inventory estimation accuracy is a significant competitive advantage. The supply chain's capacity to satisfy demand is affected by weather, excessive seasonality, and changes in customer perception or media attention. Humans can now think at previously unimaginable levels thanks to AI, which has just been shown to act as an extension of the human brain. Instead of replacing humans, artificial intelligence …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 5, Issue 1, 2022 Read article
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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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Improving Operational Efficiency: A Case Study of Inventory Management Optimization Using Oracle Fusion Supply Chain Management at BVS Electronics Pvt. Ltd.
Abstract: This research paper investigates the implementation of Oracle Fusion Supply Chain Management (SCM) at BVS Electronics Pct. Ltd. will enhance inventory control procedures. Through a comprehensive case study approach, we explore the strategies employed by the company to enhance operational efficiency and streamline inventory control processes. The study delves into the challenges faced by BVS Electronics in inventory management prior to adopting Oracle Fusion SCM and evaluates the effectiveness of …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 7, Issue 2, 2024 · pp. 15–28 Read article
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Managing the Economic Turbulence Through Global Governance
Abstract: The on-going turmoil in the world economy, which can be seen as a carryover of the 2007 global financial crisis, poses a threat to trigger yet another massive worldwide recession. The dire circumstances have instilled fear throughout the developed world to such an extent that The Economist in London has already forecasted a double-dip global recession initiated by the United States. The world stock exchanges went into a complete meltdown …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 7, Issue 2, 2024 · pp. 31–37 Read article