The Customer Segmentation Using Clustering Techniques: A Case study on H&M

To analyze customer purchase behavior and preferences at H & M

To segment customers into distinct groups using clustering techniques

To examine the financial implications of the customer segmentation strategy for H & M

Collect and analyze customer transaction data from H & M

Apply clustering algorithms such as k-means or hierarchical clustering to segment customers

Evaluate the effectiveness of the customer segmentation strategy based on financial metrics

Write a report summarizing the findings and recommendations for H & M to improve their customer segmentation strategy.