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A retail store SKU promotions optimization model for category multi-period profit maximization
16 references·7 citing·40 second hop
A retail store SKU promotions optimization model for category multi-period profit maximization (2016)A retail store SKU promotions optimizatio…Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Analytics for an Online Retai…Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts (2013)Measuring forecasting accurac…Database Paper—The IRI Marketing Data Set (2008)Database Paper—The IRI Market…Another look at measures of forecast accuracy (2006)Another look at measures of f…Emerging trends in retail pricing practice: implications for research (2004)Emerging trends in retail pri…Decomposing the Sales Promotion Bump with Store Data (2004)Decomposing the Sales Promoti…A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)A Customer Lifetime Value Fra…Is 75% of the Sales Promotion Bump Due to Brand Switching? No, Only 33% Is (2003)Is 75% of the Sales Promotion…The Estimation of Pre- and Postpromotion Dips with Store-Level Scanner Data (2000)The Estimation of Pre- and Po…Commercial Use of UPC Scanner Data: Industry and Academic Perspectives (1999)Commercial Use of UPC Scanner…The Long-Term Impact of Promotions on Consumer Stockpiling Behavior (1998)The Long-Term Impact of Promo…Implicit Price Bundling of Retail Products: A Multiproduct Approach to Maximizing Store Profitability (1991)Implicit Price Bundling of Re…Market-Share Analysis: Evaluating Competitive Marketing Effectiveness (1988)Market-Share Analysis: Evalua…Impact of Sales Promotions on When, What, and How Much to Buy (1988)Impact of Sales Promotions on…A Logit Model of Brand Choice Calibrated on Scanner Data (1983)A Logit Model of Brand Choice…A Logit Model of Brand Choice Calibrated on Scanner Data (Логистическая модель выбора бренда, откалиброванная на панельных данных сканированных штрих-кодов покупок) (1983)A Logit Model of Brand Choice…A combined forecasting method for intermittent demand using the automotive aftermarket data (2022)A combined forecasting method…Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values (2020)Interpretable machine learnin…How to Promote Sales: Discount Promotion or Coupon Promotion? (2020)How to Promote Sales: Discoun…Pricing of demand-related products: Can ignoring cross-category effect be a smart choice? (2019)Pricing of demand-related pro…Optimizing stock‐keeping unit selection for promotional display space at grocery retailers (2019)Optimizing stock‐keeping unit…Forecasting retailer product sales in the presence of structural change (2019)Forecasting retailer product …Susceptibility to price discounting of soda by neighbourhood educational status: an ecological analysis of disparities in soda consumption using point-of-purchase transaction data in Montreal, Canada (2018)Susceptibility to price disco…A Model of Sales. 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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 1983A Logit Model of Brand Choice Calibrated on Scanner Data1,806 cited
  • 1988Impact of Sales Promotions on When, What, and How Much to Buy1,052 cited
  • 2004A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy948 cited
  • 1983A Logit Model of Brand Choice Calibrated on Scanner Data (Логистическая модель выбора бренда, откалиброванная на панельных данных сканированных штрих-кодов покупок)547 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • 2008Database Paper—The IRI Marketing Data Set448 cited
  • 1998The Long-Term Impact of Promotions on Consumer Stockpiling Behavior265 cited
  • 1991Implicit Price Bundling of Retail Products: A Multiproduct Approach to Maximizing Store Profitability258 cited
  • 2004Decomposing the Sales Promotion Bump with Store Data237 cited
  • 2003Is 75% of the Sales Promotion Bump Due to Brand Switching? No, Only 33% Is232 cited
  • 2000The Estimation of Pre- and Postpromotion Dips with Store-Level Scanner Data219 cited
  • 1988Market-Share Analysis: Evaluating Competitive Marketing Effectiveness215 cited
  • 1999Commercial Use of UPC Scanner Data: Industry and Academic Perspectives207 cited

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  • 2013Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts193 cited
  • 2004Emerging trends in retail pricing practice: implications for research189 cited
  • Cited by

    • 2022A combined forecasting method for intermittent demand using the automotive aftermarket data44 cited
    • 2020Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values43 cited
    • 2019Forecasting retailer product sales in the presence of structural change42 cited
    • 2019Optimizing stock‐keeping unit selection for promotional display space at grocery retailers31 cited
    • 2020How to Promote Sales: Discount Promotion or Coupon Promotion?15 cited
    • 2018Susceptibility to price discounting of soda by neighbourhood educational status: an ecological analysis of disparities in soda consumption using point-of-purchase transaction data in Montreal, Canada11 cited
    • 2019Pricing of demand-related products: Can ignoring cross-category effect be a smart choice?10 cited