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Considerations of a retail forecasting practitioner
7 references·5 citing·36 second hop
Considerations of a retail forecasting practitioner (2018)Considerations of a retail forecasting pr…Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Dynamic pricing and learning:…HOW MANY PARTS TO MAKE AT ONCE (2014)HOW MANY PARTS TO MAKE AT ONCEMarkovian Demand Inventory Models (2009)Markovian Demand Inventory Mo…Order forecasts, retail sales, and the marketing mix for consumer durables (1998)Order forecasts, retail sales…How Many Parts to Make at Once (1990)How Many Parts to Make at OnceAn inventory pricing problem (1963)An inventory pricing problemForecasting principles and practiceForecasting principles and pr…Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression (2023)Which product description phr…Simplifying tree-based methods for retail sales forecasting with explanatory variables (2023)Simplifying tree-based method…Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data (2021)Product sales probabilistic f…Generalizing the Theta method for automatic forecasting (2020)Generalizing the Theta method…Control of inventory dynamics: A survey of special cases for products with low demand (2020)Control of inventory dynamics…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)Modeling and Forecasting the Sales of Technology Products (2004)CREATING ORDER FORECASTS: POINT‐OF‐SALE OR ORDER HISTORY? (2010)Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains (2020)Another look at measures of forecast accuracy (2006)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Automatic Time Series Forecasting: The forecast Package for R (2008)Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions (2003)The Theory and Practice of Revenue Management (2004)Online Network Revenue Management Using Thompson Sampling (2018)Introduction to Multi-Armed Bandits (2019)Autonomous algorithmic collusion: Q‐learning under sequential pricing (2021)E-satisfaction: an initial examination (2000)Atmospheric qualities of online retailing (2001)Internet forums as influential sources of consumer information (2001)17. A Value for n-Person Games (1953)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables (2025)Average Cost Single-Stage Inventory Models: An Analysis Using a Vanishing Discount Approach (2010)A survey on the inventory-routing problem with stochastic lead times and demands (2016)A survey of stochastic inventory models with fixed costs: Optimality of ( s , S ) and ( s , S )‐type policies—Discrete‐time case (2022)Optimal Dynamic Auctions for Revenue Management (2002)Dynamic Mechanism Design for Online Commerce (2006)Dynamic Revenue Maximization with Heterogeneous Objects: A Mechanism Design Approach (2009)Environmentally responsible inventory models: Non-classical models for a non-classical era (2010)Including sustainability criteria into inventory models (2012)Sensitivity analysis: A review of recent advances (2015)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Lost-sales inventory theory: A review (2011)The lot sizing problem: A tertiary study (2013)Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms (2016)
this work references cited by second hop

References

  • n.d.Forecasting principles and practice4,364 cited
  • 1990How Many Parts to Make at Once1,105 cited
  • 2015Dynamic pricing and learning: Historical origins, current research, and new directions434 cited
  • 2014HOW MANY PARTS TO MAKE AT ONCE375 cited
  • 1963An inventory pricing problem111 cited
  • 2009Markovian Demand Inventory Models94 cited
  • 1998Order forecasts, retail sales, and the marketing mix for consumer durables59 cited

Cited by

  • 2020Generalizing the Theta method for automatic forecasting49 cited
  • 2023Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression45 cited
  • 2023Simplifying tree-based methods for retail sales forecasting with explanatory variables40 cited
  • 2021Product sales probabilistic forecasting: An empirical evaluation using the M5 competition data39 cited
  • 2020Control of inventory dynamics: A survey of special cases for products with low demand22 cited

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