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41 articles for “forecasting”
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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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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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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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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 Fairness and Transparency in Deep Learning- Based Stock Market Forecasting
Abstract: Over the past few years, Deep Learning Models have gained prominence as a very effective means of predicting future financial markets because these types of models are capable of identifying and modelling complex non-linear data relationships that may otherwise be missed by human analysts. By analyzing huge amounts (millions of observations) of historic data about the market, the technical indicators and sentiment derived from news articles, social media or analyst …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 1, 2026 Read article
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Forecasting Stock Market Returns using Artificial Neural Networks: Novel approach
Abstract: In recent years, there has been an increase in the amount of literature on artificial neural network applications in the business and finance realms. In reality, the field of stock return forecasting has received a lot of attention. This is owing to the fact that monetary benefits will be large if artificial neural network applications succeed. Many research have shown that various types of artificial neural network topologies can be …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 4, Issue 2, 2021 · pp. 5–9 Read article
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Probabilities of Job Opportunities in a Water and Sanitation Services Project by Forecasting and Analysing the Perspective of a Survey Report
Abstract: The city of Toronto has been asked by the principals of the Water for African Cities’ Program to provide development and project management assistance with respect to the implementation of the LVWATSAN initiative. The overriding goal of the initiative is to improve living conditions of the urban poor in the Lake Victoria Region and protect local and regional environments. A project charter was developed by stakeholders at the city of …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 5, Issue 1, 2022 Read article
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Financial Projection as a Planning Tool on Construction Projects: Cash Flow Analysis and S-Curve Valuation for a Residential Development Scheme
Abstract: The adequacy of financial control in a construction firm signifies a hallmark of its ability to avert failure. A construction firm’s financial standing is, however, an agglomeration of its cash flow management at the project level. Cash inflows and outflows are the core financial management elements on construction projects, needed to ensure sufficient liquidity that is necessary to keep the project running. Cash flow analysis and valuation for a project …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 6, Issue 1, 2023 · pp. 60–66 Read article
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A Comparative Study of Traditional vs. Modern Budgeting Techniques
Abstract: Budgeting is a vital managerial function that supports strategic planning, financial control, and effective resource utilization within organizations. It provides a structured mechanism for setting financial objectives, estimating revenues and expenditures, and coordinating activities across departments. Traditionally, budgeting has been primarily concerned with cost control, annual forecasting, and performance monitoring through fixed financial targets. However, the rapidly evolving business environment characterized by globalization, technological advancement, and market volatility has exposed …
Published in NOLEGEIN Journal of Performance Management & Retention Strategies · Vol. 9, Issue 1, 2026 · pp. 6–12 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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A Comparative Performance Analysis of Machine Learning Models for Predicting Technology Sector Stock Returns Using Global Macroeconomic Indicators
Abstract: The financial markets do not depend on a single factor but are the result of interaction of macroeconomic, investor sentiment, and efficient company-specific factors. It is also difficult to predict the stock market especially in the technology industry because they are nonlinear and highly dynamic. The past few years have seen machine learning methods become effective tools in the analysis of financial data and the identification of implicit relationships that …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
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Impact of FDI and BOP Current Account on INR/Euro Exchange Rate Evolution in India
Abstract: Balance of Payments, Foreign Direct Investment, and currency exchange rate impact each other andvice versa. This study was conducted to show how the INR/EUR exchange rate fluctuated over time inrelation to India’s current account of the balance of payments and its FDI inflows. A sum of 263 articles was identified after an initial search from databases like Web of Science, Google Scholar, research gate, and Scopus databases. 95 articles were …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 6, Issue 1, 2023 · pp. 33–40 Read article
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Strategic Cost Accounting: How Large Corporations Use Costing Methods to Drive Long-Term Decision-Making
Abstract: This study investigates how large corporations strategically utilize cost accounting methods, such as Activity-Based Costing (ABC), Standard Costing, and Job Order Costing, to drive long-term financial decision-making. Using a descriptive and comparative research design, financial data from multinational corporations, including Apple Inc., Walmart Inc., General Motors, Johnson & Johnson, and Boeing Co., were analyzed for the period 2020–2024. The study employs statistical models such as correlation analysis (r = 0.87), …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 8, Issue 1, 2025 · pp. 1–17 Read article
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Study of financial modelling in Excel, with reference to with Reference to Param Dairy Limited Company
Abstract: This project titled “Study of Financial Modelling in Excel with Reference to Param Dairy Limited” focuses on understanding how Excel-based financial tools are used in real business environments to enhance financial accuracy and decision-making. In today’s data-driven business world, financial modelling has become essential for analyzing performance, forecasting growth, and supporting strategic decisions. The objective of this project is to study the practical applications of Excel in financial analysis, specifically …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 · pp. 19–32 Read article
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Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic Review
Abstract: I believe that neuromorphic computing and financial prediction is now a genuinely exciting, yet under-researched, area of applied machine learning study. The paper presents a systematic literature review of the literature based on energy efficient Spiking Neural Networks (SNNs) in forecasting events-based real-time stock market data. Event based in character Financial time-series data is not continuous in nature, but consists of major discrete events like significant price changes, volume surges, …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 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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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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Turning Smartphones in to a Diagnostic Device and More
Abstract: Getting the right health checkup and at the right time is the need of the hour and that being done with a tap on the screen is a blessing. The global telehealth market size was valued at USD 61.40 billion in 2019 and is projected to reach USD 559.52 billion by 2027, exhibiting a CAGR of 25.2% during the forecasted period Eyeing this enormous potential, Ashutosh Lawania, co-founder of Myntra …
Published in NOLEGEIN Journal of Advertising and Brand Management · Vol. 4, Issue 2, 2021 · pp. 1–6 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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A Comparative Analysis of Dividend Policy on Selected Pharmaceuticals Industrial Units of India
Abstract: The distribution of earnings (past or present) among the company's shareholders in accordance with their percentage of ownership is known as a dividend. A company's dividend policy outlines how profits are allocated to shareholders. A financial decision decides how much of the profits will be paid out as dividends to the shareholders. Research on dividends has questioned how much investors value consistent dividend payments in comparison to the capital that …
Published in NOLEGEIN Journal of Business Risk management · Vol. 7, Issue 1, 2024 · pp. 1–6 Read article