SKU demand forecasting in the presence of promotions
Promotions and shorter life cycles make grocery sales forecasting more difficult, requiring
more complicated models. We identify methods of increasing complexity and data …
more complicated models. We identify methods of increasing complexity and data …
Joint in-season and out-of-season promotion demand forecasting in a retail environment
J Wolters, A Huchzermeier - Journal of Retailing, 2021 - Elsevier
Inaccurate forecasts of demand during promotions diminish the already meager profit
margins of retailers. No forecasting method described in the literature can accurately …
margins of retailers. No forecasting method described in the literature can accurately …
Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra-and inter-category promotional information
In marketing analytics applications in OR, the modeler often faces the problem of selecting
key variables from a large number of possibilities. For example, SKU level retail store sales …
key variables from a large number of possibilities. For example, SKU level retail store sales …
On the identification of sales forecasting models in the presence of promotions
Shorter product life cycles and aggressive marketing, among other factors, have increased
the complexity of sales forecasting. Forecasts are often produced using a Forecasting …
the complexity of sales forecasting. Forecasts are often produced using a Forecasting …
Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values
EA Antipov, EB Pokryshevskaya - Journal of revenue and pricing …, 2020 - Springer
Forecasting demand and understanding sales drivers are one of the most important tasks in
retail analytics. However, traditionally, linear models and/or models with a small number of …
retail analytics. However, traditionally, linear models and/or models with a small number of …
Forecasting retailer product sales in the presence of structural change
Grocery retailers need accurate sales forecasts at the Stock Keeping Unit (SKU) level to
effectively manage their inventory. Previous studies have proposed forecasting methods …
effectively manage their inventory. Previous studies have proposed forecasting methods …
Classification-based model selection in retail demand forecasting
M Ulrich, H Jahnke, R Langrock, R Pesch… - International Journal of …, 2022 - Elsevier
Retailers supply a wide range of stock keeping units (SKUs), which may differ for example in
terms of demand quantity, demand frequency, demand regularity, and demand variation …
terms of demand quantity, demand frequency, demand regularity, and demand variation …
The value of competitive information in forecasting FMCG retail product sales and the variable selection problem
Sales forecasting at the UPC level is important for retailers to manage inventory. In this
paper, we propose more effective methods to forecast retail UPC sales by incorporating …
paper, we propose more effective methods to forecast retail UPC sales by incorporating …
Comparison of statistical and machine learning methods for daily SKU demand forecasting
Daily SKU demand forecasting is a challenging task as it usually involves predicting
irregular series that are characterized by intermittency and erraticness. This is particularly …
irregular series that are characterized by intermittency and erraticness. This is particularly …
A survey on retail sales forecasting and prediction in fashion markets
Sales forecasting is an essential task in retailing. In particular, consumer-oriented markets
such as fashion and electronics face uncertain demands, short life cycles and a lack of …
such as fashion and electronics face uncertain demands, short life cycles and a lack of …