Retail

Rossmann

Industry

Retail

Duration

1 months

Categories

Technologies

Python, Qlik

Team

Business Analyst, Data Scientist, Machine learning engineer, Tech Lead, Project Manager

Goal

To set up a more efficient allocation of employees at sales outlets, for Rossmann - the retail chain that operates 1,115 stores across Germany

Solution

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.

Main Challenge

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.

Features

Implemented specific Machine Learning algorithm using Amazon tech stack; Collection & Warehousing of the enormous sized data (transactions per day per store for 1 year)

Competitive Advantage

88% solution’s prediction accuracy achieved.