Case Study: a multinational bank prevents customer churn with C3 AI Cash Management

Multinational Bank prevents 50% of churn with C3.ai

A multinational bank faced the challenge of predicting customer churn within its cash management business. Due to the highly volatile nature of client cash balances, the bank struggled to distinguish between normal operating activity and true signals of impending churn. This led to unnecessary and expensive preventive actions, like offering better interest rates to satisfied customers, while simultaneously missing subtle churn signals from others. The bank partnered with C3.ai and implemented C3 AI Cash Management to address this issue.

C3.ai deployed its platform to integrate three years of historical data from seven sources and developed a production-ready machine learning application. The solution provided an interpretable algorithm that outputs a customer churn risk score and early warning signals, giving the bank up to 90 days of advance notice. This enabled targeted preventive action and resulted in an annual economic benefit of $60-$80 million from saved balances and more strategic rate change offers.