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Home Market – Advanced analytics for the retail group

Analysis of correlations and dependencies

Project profile

  • Goal
    Advanced analytics on purchasing behaviour in relation to products and external factors
  • System
    IBM Cloud, Watson Services
  • Type
    B2C
  • Onboarding
    2016 - 2017

This is how you make data usable efficiently!

As a renowned interior furnishing specialist, Home Market has been shaping the way people live for more than 100 years, across all generations.

The specialist store group is a leading supplier of floor coverings, carpets and everything else needed to furnish your own living space.

With 78 branches, Home Market is represented throughout Germany.

Our services

Artificial Intelligence
E-Commerce Optimisation

The challenge

  • Analysing the correlations and dependencies between the product ranges

  • Analysing product sales in relation to regional weather

  • Analysing the link between the purchase of a hard floor covering (parquet, laminate) and the later purchase of a carpet, in terms of the timing of the purchase and of customer outreach

Leiter in einem Wohnraum, überlagert von rosa Farbverlauf und einem gelben Dreieck

The solution

 

Integration of the sales data from the regional branches, correlation with regional weather data and analysis of the data using association rule learning and further statistical analysis methods.

The added value

The customer gained insight into the correlations between purchases across different product segments. In addition, dependencies on regional weather were identified for purchases in individual product groups.

Analysing the data enables the customer to adapt product placement more precisely to the wishes of its customers and to generate additional up- and cross-selling revenue.

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