SOLD26:
Predicting future sales
Description
Predicting future sales based on sales data in first quarter after release
Format
A data frame with 2768 observations on the following 16 variables.
Details
Inspired by the dunnhumby hackathon hosted at https://www.kaggle.com/c/hack-reduce-dunnhumby-hackathon. The goal is to predict the number of items sold 26 weeks after released based on the characteristics of its sales during the first 13 weeks after release (along with information about how many stores are planning to sell the product 26 weeks after release).