… demand pattern to its most appropriate prediction model. To this end, we propose an automated
model selection framework for retail demand … perishable SKUs in the categories of fruits, …

… For illustration purposes, we assign names of different product categories to each …
Specifically, our 12 different functionalities correspond to the following categories: streaming sticks, …

… in predicting demand for future designs. In many fashion houses or retail brands, demand
… sell through rate of these brands for footwear category. Sell through rate is defined as the …

… predictive models based on summaries of the predictor … subset of predictors in predictive
modeling from a much larger … of factors common to the predictor variables. A popular technique …

… In this study, we predict the seasonal demand at the product level. The catch is that the …
Below are shortly described the higher-level categories of the features used in this study: …

… retail pricing and revenue optimization of these retail products. The sales data of past 2.5
years from prominent retail stores … proposed demand model is effective for other categories as …

… models, we conduct category-based analyses across three distinct perishable product
categories… basis for selecting suitable approaches for demand prediction in a retail context. ETR’s …

… store-category level, which comprises a group of products having comparable characteristics.
We consider the most common product categories, … how well the models predict sales for …

… In addition, the majority of these systems rely on point forecasts, limiting their practical use
in retailing decisions, which often requires the full predictive density for decision making. The …

… Retail Demand Forecasting (RDF) problem as a Machine Learning problem, with a focus on
the phase of predictive modeling… Forest model belongs in the category of ensemble models. …