Hierarchical sales data of an Italian grocery store
Published: 2 March 2021| Version 1 | DOI: 10.17632/s8dgbs3rng.1
Contributors:
Paolo Mancuso,
Veronica Piccialli,
Description
This dataset contains sales data of an Italian grocery store at the SKU level. It consists of 118 daily time series representing the quantity of pasta sold from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity is integrated by the information on the presence or the absence of a promotion.
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Categories
Machine Learning, Time Series, Demand Forecasting