To analyze customer data from ITC based on their financial transactions and behavior.
To segment customers into distinct groups using clustering techniques.
To evaluate the effectiveness of the segmentation in identifying key customer segments for targeting marketing strategies and personalized offerings.
To provide insights and recommendations to the management of ITC on how to optimize customer segmentation for improved business performance.
Collect and clean customer data related to financial transactions from ITC.
Apply clustering techniques such as K-means or hierarchical clustering to segment customers into groups based on certain criteria.
Analyze the results of the clustering to identify key customer segments and their characteristics.
Interpret the findings and provide recommendations on how ITC can utilize customer segmentation for targeted marketing campaigns and personalized offerings.
Present the results of the analysis in a structured report outlining the methodology, results, and recommendations for the management of ITC.
