Gradient Boosting and Deep Learning Models Approach to Forecasting Promotions Efficiency in FMCG Retail

摘要

In the paper, different approaches to the problem of forecasting promotion efficiency are presented. For four defined indicators of promotion effect, prediction models using Gradient Boosting method and Deep Learning methods were trained. The comparison of the results is provided. The experiments were performed for three groups of products from a large grocery company.