Machine Learning Powered Solutions for Banking and Finance

Using Data for a Competitive Edge

The fiercely competitive banking landscape are forcing banks and financial institutions to adapt to remain competitive.

Utilizing machine learning has proven itself to be one of the primary ways banks and financial institutions can gain an advantage, but the cost and time needed to bring models to production has meant that it is often not utilized by banks.

PI.EXCHANGE's machine learning solutions allows technical and non-technical users to automatically build complete prediction machine learning pipelines and generate value from data.

PI.EXCHANGE speeds up time-to-value for machine learning projects like customer churn prediction, customer lifetime value prediction and customer segmentation.

Use Cases

Powerful Banking & Finance Use Cases

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Customer Churn Prediction

Predict if A Customer is Likely to Churn and When

PI.EXCHANGE’s Customer Churn Prediction solution allows banks to identify customers likely to switch to a competitor in the future, giving them an opportunity to proactively address it ahead of time. Keep customers from churning and retain revenue that would otherwise be lost.

Predict churn probabilities for each customer

Increase customer loyalty and revenue

Decrease customer churn rates

Customer Lifetime Value Prediction

Predict Amount Spent by a Customer in a Given Period

PI.EXCHANGE's Customer Lifetime Value Prediction solution allows banks to identify customers that will produce the most revenue over a given time period. Increase loyalty of customers that drive majority of revenue and gain an advantage over competition.

Generate CLV predictions for each customer

Determine revenue over a given time period

Increase loyalty among high-value customers

Loan Delinquency

Predict Applicants that are Likely to Default

PI.EXCHANGE’s Loan Delinquency Prediction solution allows lenders to identify potential loan applicants that are likely to default on repayments obligations. Feel confident making data driven decisions and reduce the risk of bad debt.

Identify potential financial risks of incurring bad debt

Reduce costs associated with loan defaults

Customer Segmentation

Group Customers Into Natural Segments

PI.EXCHANGE’s Customer Segmentation solution allows banks and financial institutions to group customers into natural categories based on demographics, behaviour and preferences. Increase marketing effectiveness by developing targeted offer strategies.

Pinpoint groups of customers with similar identifying features

Develop effective targeted marketing strategies

Increase revenue with more efficient offerings