AI/ML Models
Automate. Accelerate. Innovate.
At Braintree Technologies Inc., we develop intelligent AI and machine learning models that help banks and enterprises extract meaningful insights, automate decisions, and serve customers better.
Our solutions span predictive modeling, segmentation, behavior analysis, and intelligent summarization enabling your business to deliver personalized, proactive, and profitable services.
Whether you’re predicting churn, analyzing sentiment, or recommending investment strategies, we help you turn data into action.
Customer Churn & Satisfaction Models
- Credit Card Churn Prediction Identify customers at high risk of canceling credit card services and implement proactive retention strategies.
- Balances Churn Detection Spot declining customer balances early and uncover the root causes to reduce attrition.
- Term Deposit Churn Analyze fixed-term deposit data to predict customers likely to withdraw early or avoid reinvesting.
- Complete Customer Loss (Exit Prediction) Anticipate full customer exit from your bank by analyzing interaction patterns and transactional behavior.
- Customer Satisfaction Scoring (Branch/Online) Predict Net Promoter Scores and satisfaction based on online banking or in-branch interactions.
- Identify the best candidates for automation through workshops and data-driven analysis.
- Evaluate ROI, complexity, and effort required for each process.
Customer Segmentation & Behavior Analytics
- Demographic Segmentation Group customers based on age, location, income, etc., for targeted engagement.
- Customer Loyalty Segmentation (High/Medium/Low) Classify customers by loyalty level to guide rewards, retention, and marketing efforts.
- Customer Income Level Prediction Estimate a customer’s income range using transactional and behavioral data for cross-selling and risk profiling.
- e-Channel Persona Detection Understand customer preferences across mobile, web, USSD, and ATM to enhance digital strategy.
Investment Personalization Models
- Investment Plan Segmentation (Personalized Planning) Segment customers based on investment goals (short/long term) and risk appetite to offer tailored advice.
- Customer Segmentation for Investment Type Suitability
Risk & Compliance Intelligence
- High-Risk Customer Prediction Detect potential fraud, AML risk, or operational red flags using pattern recognition.
- Credit Default Risk Modeling Predict the probability of loan or credit card default using credit score data, transaction behavior, and past repayment history.
AI-Powered Text & Insight Generation
- Operational Report Summarization
Automatically generate executive summaries from large volumes of operational data, especially for returned/refused loan applications. - Complaint Summarization
Condense and categorize lengthy customer complaints to speed up resolution and improve service quality. - Complaint Topic Detection
Use NLP to classify complaints by type (billing, UX, technical issue, etc.) for better root cause analysis and reporting.
How We Deliver AI Models
- End-to-end ML pipelines (from data wrangling to deployment)
- Integration with core banking, CRM, and analytics tools
- Support for cloud and on-prem environments (AWS, Azure, GCP)
- Built with leading frameworks: Scikit-learn, XGBoost, TensorFlow, PyTorch, Hugging Face
Ready to Power Smarter Banking?
Let Braintree Technologies Inc. build and deploy models that move your business forward.
Contact us today for a demo or model discovery workshop.
