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Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company
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Predictive Analytics to Improve Inventory Performance: A Case Study of an FMCG Company (2023)Predictive Analytics to Improve Inventory…Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning (2023)Order-up-to-level inventory o…Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain (2023)Machine learning-based techni…Inventory management of new products in retailers using model-based deep reinforcement learning (2023)Inventory management of new p…Dynamic pricing and inventory control for multiple products in a retail chain (2023)Dynamic pricing and inventory…The Use of Predictive Analytics in Finance (2022)The Use of Predictive Analyti…The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events (2022)The role of big data and pred…Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM (2022)Predictive Analytics for Dema…Optimizing inventory control through a data-driven and model-independent framework (2022)Optimizing inventory control …Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain (2022)Intelligent inventory managem…Disaggregated Retail Forecasting: A Gradient Boosting Approach (2022)Disaggregated Retail Forecast…Simulation of inventory management systems in retail stores: A case study (2021)Simulation of inventory manag…Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains (2020)Exploring Big Data Research: …Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting (2020)Data Analytics in the Supply …Decision Trees for Supervised Multi-criteria Inventory Classification (2017)Decision Trees for Supervised…Model Predictive Control for inventory Management in Supply Chain Planning (2011)Model Predictive Control for …Inventory and distribution strategies for retail/e-tail organizations (2009)Inventory and distribution st…A Dual-Based Procedure for Uncapacitated Facility Location (1978)Simulation Modeling and Analysis. (1983)Simulation modeling and analysis (1999)The value of postponing online fulfillment decisions in multi-channel retail/e-tail organizations (2009)Evaluation of Order Fulfillment Options in Retail Supply Chains (2017)Manufacturer’s channel strategy with retailer’s store brand (2020)Disruptive technologies: catching the wave (1995)Supply Chain Management: Strategy, Planning, and Operation (2003)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Artificial neural networks in supply chain management, a review (2023)Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review (2024)MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS (2024)Stock-rationing policy for a make-to-stock production system with two priority classes and backordering (1997)The Effect of Product Variety and Inventory Levels on Retail Store Sales: A Longitudinal Study (2010)Simulation Modeling and Analysis with ARENA (2011)Deterministic and Stochastic İnventory Models in Production Systems: a Review of the Literature (2022)Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting (1982)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)An optimized model using LSTM network for demand forecasting (2020)A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting (2022)Forecasting seasonal demand for retail: A Fourier time-varying grey model (2024)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)A Capital Asset Pricing Model with Time-Varying Covariances (1988)Dynamic Conditional Correlation (2002)A framework to improve churn prediction performance in retail banking (2024)Advanced AI and big data techniques in E-finance: a comprehensive survey (2025)Emerging technologies in finance: challenges for a sustainable finance (2025)Self-Reports in Organizational Research: Problems and Prospects (1986)Dynamic capabilities and strategic management (1997)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Navigating circular economy: Unleashing the potential of political and supply chain analytics skills among top supply chain executives for environmental orientation, regenerative supply chain practices, and supply chain viability (2023)Supply chain resilience to climate change inflicted extreme events in agri-food industry: The role of social capital and network complexity (2023)Supply chain resilience: When the recipe is more important than the ingredients for managing supply chain disruptions (2024)World Health Statistics (1949)Introduction to Stochastic Programming (1997)Recent trends in modeling of deteriorating inventory (2001)Designing a portfolio-based closed-loop supply chain network for dairy products with a financial approach: Accelerated Benders decomposition algorithm (2023)The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory (2024)Machine learning in supply chain management: systematic literature review and future research agenda (2025)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Another look at measures of forecast accuracy (2006)Inventory management in supply chains: a reinforcement learning approach (2002)A two-stage stochastic programming model for inventory management in the blood supply chain (2017)Deep reinforcement learning for inventory control: A roadmap (2021)An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management (2023)Application of artificial intelligence in demand planning for supply chains: a systematic literature review (2025)The Role of Big Data and Predictive Analytics in Retailing (2017)The Big Data Newsvendor: Practical Insights from Machine Learning (2018)A comparative assessment of holt winter exponential smoothing and autoregressive integrated moving average for inventory optimization in supply chains (2024)A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount (2024)
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References

  • 2022Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM147 cited
  • 2020Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting134 cited
  • 2022The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events121 cited
  • 2022The Use of Predictive Analytics in Finance95 cited
  • 2009Inventory and distribution strategies for retail/e-tail organizations78 cited
  • 2023Inventory management of new products in retailers using model-based deep reinforcement learning75 cited
  • 2022Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain71 cited
  • 2023Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning63 cited
  • 2022Disaggregated Retail Forecasting: A Gradient Boosting Approach41 cited
  • 2021Simulation of inventory management systems in retail stores: A case study38 cited
  • 2022Optimizing inventory control through a data-driven and model-independent framework36 cited
  • 2023Machine learning-based technique for predicting vendor incoterm (contract) in global omnichannel pharmaceutical supply chain32 cited
  • 2017Decision Trees for Supervised Multi-criteria Inventory Classification28 cited

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  • 2011Model Predictive Control for inventory Management in Supply Chain Planning24 cited
  • 2023Dynamic pricing and inventory control for multiple products in a retail chain22 cited
  • 2020Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains22 cited
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