CASE STUDY
Leading Bank Predicts Customer Churn with Custom Generative AI Solution
Industry | Banking
Technology | Generative AI
Location | USA
Augusta Logo
The client is a leading financial institution in the USA with 150 branches across 25 states. The bank offers various services, including personal and business loans, savings and checking accounts, investment options, and credit cards. Its solid online presence delivers seamless digital banking through an intuitive website and mobile app. Customers can easily manage accounts, apply for loans, transfer funds, and access personalized financial advice, ensuring a convenient and efficient banking experience.

By downloading this content, you are agreeing to receive communications from Royal Cyber, including our Insights newsletter.




Challenges

The client struggled with inaccurate churn predictions.

The client's customer retention strategies lacked personalization.

Difficulty integrating data from multiple sources and ensuring cleanliness.

Difficulty handling large volumes of customer data efficiently.

Key Outcomes
25%
Increase in Customer Engagement
15%
Decrease in Churn Rates
Solutions

Machine learning and genetic algorithms for model accuracy.

Established strong data governance policies.

Developed personalized retention strategies with large language models (LLMs)

Implemented explainable AI to provide transparency.

What Customer Say about RoyalCyber

Congratulations, and a big thank you to everyone who worked on creating our custom AI application. The team did a great job tackling all the tasks that came up, and hats off to everyone who worked on this project.

Sr. Director IT

30%

Increased Accuracy in Churn Prediction

Audience

  • Executives, CTOs, Director
  • IT Consultants
  • Business Analysts
  • Project Managers
  • IT Project Coordinators
  • Architects and Specialists
Related Case Studies
Helping Retailers to Analyze Customer Sentiments with LLMs
LLMs
Demand Forecasting for Items in the Food Industry