Customer Analytics and AI Solutions
- Customer Insights & Segmentation
- Customer Lifecycle & Loyalty Analytics
- Predictive Modeling, AI Solutions & Data Management


Customer Insights & Segmentation
- Vintage level segmentation analysis to determine in-depth customer profiles using:
- Quantitative & Empirical Data using Integration and Data Lakes
- Customer Marketing Profiles & Micro-Segmentation
- Business Objectives (Growth vs Profit, Contribution Margin, Churn Reduction)
- Effective Customer Segmentation will help Increase Growth in Acquisitions while Maximizing Profit
- Incorporates Marketing Profiles and Empirically Derived Segments
- Uses Profitability Measures and KPI’s
- Better AI & Machine Learning Models
- Can Define Customer Value at Segment and Category Level
Customer Lifecycle and Loyalty Analytics
- Develop Customer Lifecycle Marketing & Engagement Strategy
- Account Funnel: Maximize Customer Lifetime Value (CLTV) to CAC ratio and Acquisition Volume combining Channel & Geo-demographics
- New Accounts: Identify appropriate offer and servicing strategy, based on segment type acquisition channel, and wallet share
- Existing Accounts: Deeper Wallet Share analysis to identify gaps and Cross-Sell Opportunities
- Long-Term Accounts: Identify priority servicing segments and how to migrate unprofitable customers
- Account Retention:
Priority triggers for Churn to preempt disengagement
- Retail Analytics
- Bundling – beyond loyalty base
- Store analytics
- Supply chain analytics
- Pricing & promotion optimization
- Branch & Store Network optimization


Predictive Modeling, AI Solutions & Data Management
- Use Machine Learning and Predictive Analytics to solve business problems such as:
- Reducing Customer Account Attrition
- Predicting the likelihood of Customer Fraud
- Increasing Customer Lifetime Value (CLTV)
- Optimal Marketing Budgets and Channel Allocations
- Product and Pricing Optimization
- Ops Servicing & Assistance
- Automated Actions and On-the-Fly Insights
- AI & Predictive Modeling Solutions
- Generative AI (Gen AI)
- Image Analytics
- Identify information from scanned bills
- Facial recognition
- Voice, image, & text analysis
- Response modeling
- Telematics
- Digital analysis
- Data Management
- ETL and Data Integration
- Optimized Datamarts & Data Lakes: Data Quality Checks, Data Pre-processing, and Enhancement & Summarization
- Document classification and creation of automated tags
Other Services
Marketing Analytics and Budget Optimization
Use statistical methods such as Media Mix Modeling (MMM) to analyze the impact of various marketing activities
Portfolio and Asset Evaluation
Evaluate all customer touchpoints to determine optimal Pricing, Risk Profiling, Budgeting, and Composition of your portfolio