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When is the next order? Nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders
16 references·0 citing·33 second hop
When is the next order? Nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders (2023)When is the next order? Nowcasting channe…M5 accuracy competition: Results, findings, and conclusions (2022)M5 accuracy competition: Resu…The M4 Competition: 100,000 time series and 61 forecasting methods (2019)The M4 Competition: 100,000 t…Retail forecasting: Research and practice (2019)Retail forecasting: Research …Forecasting principles and practice (2018)Forecasting principles and pr…A new metric of absolute percentage error for intermittent demand forecasts (2016)A new metric of absolute perc…Inventory Record Inaccuracy: An Empirical Analysis (2008)Inventory Record Inaccuracy: …Another look at measures of forecast accuracy (2006)Another look at measures of f…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain (2004)Inventory inaccuracy and supp…A new approach to forecasting intermittent demand for service parts inventories (2003)A new approach to forecasting…A state space framework for automatic forecasting using exponential smoothing methods (2002)A state space framework for a…On the bias of intermittent demand estimates (2001)On the bias of intermittent d…Supply Chain Inventory Management and the Value of Shared Information (2000)Supply Chain Inventory Manage…Inventory management and production planning and scheduling (1999)Inventory management and prod…Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Information Distortion in a S…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Forecasting Sales by Exponentially Weighted Moving Averages (1960)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Book Review: Time Series Analysis: Forecasting and Control (1977)Forecasting methods and applications (1993)Principles of Forecasting (2001)Analysis of Financial Time Series (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment (1989)Arcs of integration: an international study of supply chain strategies (2001)DEFINING SUPPLY CHAIN MANAGEMENT (2001)Optimal Policies for a Multi-Echelon Inventory Problem (2004)Perspectives in supply chain risk management (2006)The bullwhip effect in supply chains (2015)Exponential smoothing: The state of the art (1985)The M3-Competition: results, conclusions and implications (2000)Forecasting at Scale (2017)The Value of Information Sharing in a Two-Level Supply Chain (2000)Automatic Time Series Forecasting: The forecast Package for R (2008)Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Time Series Analysis Forecasting and Control. (1971)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Forecasting: theory and practice (2022)Forecasting with artificial neural networks: (1998)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The M5 competition: Background, organization, and implementation (2021)Forecast combinations: An over 50-year review (2022)The single-period (news-vendor) problem: literature review and suggestions for future research (1999)Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research (2002)Supply Chain Coordination with Contracts (2003)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)
this work references cited by second hop

References

  • 2006Another look at measures of forecast accuracy5,980 cited
  • 1997Information Distortion in a Supply Chain: The Bullwhip Effect4,803 cited
  • 2018Forecasting principles and practice4,405 cited
  • 1999Inventory management and production planning and scheduling2,787 cited
  • 2000Supply Chain Inventory Management and the Value of Shared Information1,843 cited
  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,183 cited
  • 2002A state space framework for automatic forecasting using exponential smoothing methods1,106 cited
  • 2019The M4 Competition: 100,000 time series and 61 forecasting methods1,068 cited
  • 1972Forecasting and Stock Control for Intermittent Demands868 cited
  • 2022M5 accuracy competition: Results, findings, and conclusions669 cited
  • 2004The accuracy of intermittent demand estimates516 cited
  • 2008Inventory Record Inaccuracy: An Empirical Analysis479 cited
  • 2019Retail forecasting: Research and practice470 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories422 cited
  • 2004Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain

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398 cited
  • 2001On the bias of intermittent demand estimates392 cited
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