arXiv (Cornell University) · 2020 · 12 citations · 33 references
BusinessMarketingMarketing ManagementForecastingMarketing AnalyticsRetail AnalyticsConsumer PromotionPromotion AnalyticsRetail ForecastingRetail PromotionSales ForecastingSales PromotionCustomer Performance IndicatorsEfficiencyGradient BoostingMarketing PromotionPromotion Effectiveness MeasurementPromotion Performance EvaluationPromotion Performance MeasurementPromotional Effects Modeling
In the paper, a problem of forecasting promotion efficiency is raised. The authors propose a new approach, using the gradient boosting method for this task. Six performance indicators are introduced to capture the promotion effect. For each of them, within predefined groups of products, a model was trained. A description of using these models for forecasting and optimising promotion efficiency is provided. Data preparation and hyperparameters tuning processes are also described. The experiments were performed for three groups of products from a large grocery company.
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Exponential smoothing: The state of the art
Everette S. Gardner · Journal of Forecasting · 1985 · 1.4K citations
Business, Meteorology, Forecasting +13
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
Dahai Zhang, Liyang Qian, Baijin Mao et al. · IEEE Access · 2018 · 577 citations · Full text