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A machine learning approach to inventory stockout prediction
16 references·0 citing·58 second hopsampled
A machine learning approach to inventory stockout prediction (2025)A machine learning approach to inventory …A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach (2022)A Comparative Study of Demand…Inventory – forecasting: Mind the gap (2021)Inventory – forecasting: Mind…Does data-driven culture impact innovation and performance of a firm? An empirical examination (2021)Does data-driven culture impa…Digital supply chain to unlock new agility: a TISM approach (2021)Digital supply chain to unloc…Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Predictive big data analytics…Retail forecasting: Research and practice (2019)Retail forecasting: Research …Optimising Forecasting Models for Inventory Planning (2019)Optimising Forecasting Models…Exploring the use of deep neural networks for sales forecasting in fashion retail (2018)Exploring the use of deep neu…Reinforcement learning approaches for specifying ordering policies of perishable inventory systems (2017)Reinforcement learning approa…Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification (2016)An integrated decision analyt…Demand forecasting and inventory control: A simulation study on automotive spare parts (2014)Demand forecasting and invent…Demand and supply chain planning in grocery retail: an operations planning framework (2013)Demand and supply chain plann…Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system (2008)Case-based reinforcement lear…A review of inventory management research in major logistics journals (2008)A review of inventory managem…Inventory management in supply chains: a reinforcement learning approach (2002)Inventory management in suppl…Shelf management and space elasticity (1994)Combined Pricing and Inventory Control Under Uncertainty (1999)Facility location and supply chain management – A review (2008)Retail category management: State-of-the-art review of quantitative research and software applications in assortment and shelf space management (2011)Integrative retail logistics: An exploratory study (2013)Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM) (2017)Handbooks in operations research and management science (1989)The Bullwhip Effect In Supply Chains 1 (1997)The application of discrete event simulation and system dynamics in the logistics and supply chain context (2011)Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions (2021)Logistics and Supply Chain Management (2021)Can Deep Reinforcement Learning Improve Inventory Management? 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References

  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
  • 2019Retail forecasting: Research and practice357 cited
  • 2021Does data-driven culture impact innovation and performance of a firm? An empirical examination274 cited
  • 2018Exploring the use of deep neural networks for sales forecasting in fashion retail262 cited
  • 2002Inventory management in supply chains: a reinforcement learning approach220 cited
  • 2013Demand and supply chain planning in grocery retail: an operations planning framework170 cited
  • 2021Digital supply chain to unlock new agility: a TISM approach144 cited
  • 2017Reinforcement learning approaches for specifying ordering policies of perishable inventory systems140 cited
  • 2016An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification137 cited
  • 2008A review of inventory management research in major logistics journals136 cited
  • 2008Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system126 cited
  • 2021Inventory – forecasting: Mind the gap115 cited
  • 2019Optimising Forecasting Models for Inventory Planning

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110 cited
  • 2022A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach103 cited
  • 2014Demand forecasting and inventory control: A simulation study on automotive spare parts101 cited
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