To set up a more efficient allocation of employees at sales outlets, for Rossmann - the retail chain that operates 1,115 stores across Germany
Analyzed a huge number of features and singled out the most important ones that could affect the forecast. Viable result was achieved with the help of concept analysis, realized by our business analyst.
As part of an open competition, to achieve the aim our team was to predict daily sales per store for the period of 6 weeks ahead.
Implemented specific Machine Learning algorithm using Amazon tech stack; Collection & Warehousing of the enormous sized data (transactions per day per store for 1 year)
88% solution’s prediction accuracy achieved.