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Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values
15 references·0 citing·50 second hop
Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values (2020)Interpretable machine learning for demand…Handbook of Research on Retailing (2018)Handbook of Research on Retai…The Role of Big Data and Predictive Analytics in Retailing (2017)The Role of Big Data and Pred…A retail store SKU promotions optimization model for category multi-period profit maximization (2016)A retail store SKU promotions…Machine Learning Methods for Demand Estimation (2015)Machine Learning Methods for …Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information (2015)Demand forecasting with high …Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Analytics for an Online Retai…Economics in the age of big data (2014)Economics in the age of big d…Big Data: New Tricks for Econometrics (2014)Big Data: New Tricks for Econ…SMOOTH QUANTILE-BASED MODELING OF BRAND SALES, PRICE AND PROMOTIONAL EFFECTS FROM RETAIL SCANNER PANELS (2013)SMOOTH QUANTILE-BASED MODELIN…SKU demand forecasting in the presence of promotions (2009)SKU demand forecasting in the…Estimating the SCAN⁎PRO model of store sales: HB, FM or just OLS? (2008)Estimating the SCAN⁎PRO model…Practice Prize Report—Quantifying and Improving Promotion Effectiveness at CVS (2007)Practice Prize Report—Quantif…Promotion Profitability for a Retailer: The Role of Promotion, Brand, Category, and Store Characteristics (2006)Promotion Profitability for a…Decomposing the Sales Promotion Bump with Store Data (2004)Decomposing the Sales Promoti…How Promotions Work: SCAN*PRO-Based Evolutionary Model Building (2002)How Promotions Work: SCAN*PRO…Optimal Advertising Policy under Dynamic Conditions (1962)Optimal Advertising Policy Under Dynamic Conditions (1976)Neural network forecasting for seasonal and trend time series (2003)The human factor in supply chain forecasting: A systematic review (2018)Comparison of statistical and machine learning methods for daily SKU demand forecasting (2020)Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM (2022)The Generalized Dynamic-Factor Model: Identification and Estimation (2000)Forecasting Using Principal Components From a Large Number of Predictors (2002)Another look at measures of forecast accuracy (2006)A big data driven framework for demand-driven forecasting with effects of marketing-mix variables (2019)Forecasting in social settings: The state of the art (2019)The M5 competition: Background, organization, and implementation (2021)The theory and practice of econometrics (1986)Impact of Sales Promotions on When, What, and How Much to Buy (1988)Price-Induced Patterns of Competition (1989)Planning Marketing-Mix Strategies in the Presence of Interaction Effects (2005)Does Online Information Drive Offline Revenues? 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(2012)Big Data : The Management Revolution (2013)Marketing Analytics for Data-Rich Environments (2016)The Future of Retailing (2017)The value of online surveys: a look back and a look ahead (2018)The future of technology and marketing: a multidisciplinary perspective (2019)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Practice Prize Article— CHAN4CAST : A Multichannel, Multiregion Sales Forecasting Model and Decision Support System for Consumer Packaged Goods (2005)On the identification of sales forecasting models in the presence of promotions (2014)Integrating human judgement into quantitative forecasting methods: A review (2018)Household Surveys in Crisis (2015)Online labour index: Measuring the online gig economy for policy and research (2018)Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review (2020)
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References

  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • 2014Economics in the age of big data528 cited
  • 2017The Role of Big Data and Predictive Analytics in Retailing516 cited
  • 2004Decomposing the Sales Promotion Bump with Store Data237 cited
  • 2015Machine Learning Methods for Demand Estimation220 cited
  • 2006Promotion Profitability for a Retailer: The Role of Promotion, Brand, Category, and Store Characteristics186 cited
  • 2015Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information174 cited
  • 2009SKU demand forecasting in the presence of promotions153 cited
  • 2002How Promotions Work: SCAN*PRO-Based Evolutionary Model Building71 cited
  • 2016A retail store SKU promotions optimization model for category multi-period profit maximization63 cited
  • 2008Estimating the SCAN⁎PRO model of store sales: HB, FM or just OLS?40 cited
  • 2007Practice Prize Report—Quantifying and Improving Promotion Effectiveness at CVS39 cited
  • 2018Handbook of Research on Retailing38 cited
  • 2013SMOOTH QUANTILE-BASED MODELING OF BRAND SALES, PRICE AND PROMOTIONAL EFFECTS FROM RETAIL SCANNER PANELS

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