Data Analytics
Team ExperienceCustomer Value Intelligence System (CVIS)
A customer analytics and BI platform analyzing 392K+ retail transactions to identify high-value customer segments.
Client
NIELIT Kurukshetra
Industry
Retail / Customer Analytics
Services
Data Analytics, Business Intelligence
Status
Completed
The Challenge
The retailer needed to turn a large, messy transaction dataset into clear customer segments and revenue insights that could drive targeted marketing and retention decisions.
The Solution
Ajay cleaned and validated the transaction data, engineered RFM (Recency, Frequency, Monetary) features to segment customers, and analyzed Customer Lifetime Value and purchasing behavior to surface priority customer groups.
Team Contribution
- Data validation, cleaning, and preprocessing (Python, Pandas)
- Exploratory data analysis of transaction patterns and revenue trends
- RFM feature engineering and customer segmentation
- Customer Lifetime Value (CLV) and revenue contribution analysis
- Preparing dashboard-ready datasets and business/marketing recommendations
Key Features
- RFM-based customer segmentation
- Customer Lifetime Value analysis
- Revenue and purchasing behavior trends
- Dashboard-ready, structured datasets
- Marketing and retention recommendations
Technology
Results
CVIS turned 392K+ raw transactions into segmented, dashboard-ready customer insights for targeted marketing and retention.