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Space Plan Solutions clustering approach
  • Our Cat-Group solution groups stores using a bottom-up approach (user nominated sales mix).

  • It uses the kmeans method to determine which stores are grouped together.

  • The solution allows for the creation of several clusters using user nominated product attribute drivers.

  • It can identify the most accurate cluster based on how close stores are to the centre of the cluster.

  • Users can name clusters, exclude or manually make changes.

  • We import data covering store attributes, product attributes and performance.


Store Results

  • Product drivers and 4 Cluster Scheme.

Clustering_ Choose Product Drivers

Choose Product Drivers

Clustering stores in the cluster

Stores in Cluster

Clustering_ Stores List

Store List

Number of Iterations and Scheme Accuracy

Clustering_ Kmeans Iterations

Kmeans Iterations

Clustering_ Cluster Accuracy

Cluster Accuracy

Output reports

Clustering_ Store Importance by Attribute

Stores Importance by Attribute

Clustering_ Product Importance by type of Attribute

Product Importance by type of Attribute

Clustering_ Demographic Importance by Type

Demographic Importance by Type

Output Reports (Report Writer)

  • Users can create their own reports for stores or products.

  • An interactive Microsoft Excel workbook is delivered. 

Clustering Report
Clustering Report

Project requirements

  • We complete a discovery process to find out your key objectives and goals for the Clustering project.

  • To achieve the expected results of an accurate projection, data is key. All data is reviewed to ensure we have clean data to run the project.

  • Any project delivery is designed around the available data that can be used.

  • Please contact us and we will be happy to discuss your requirements further.

Discover more by getting in touch with us.

To learn more about our Clustering service and how this can help you be more efficient and productive with your business process, please contact us

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