Case Studies

Global Banking Leader Achieves 90% Call Containment Rate with AI Virtual Assistants

Global Banking Leader Achieves 90% Call Containment Rate with AI Virtual Assistants

Key Stats

15M

Credit-Card Related Queries Per Month

15M

Credit-Card Related Queries Per Month

90%

Call Containment Rate

90%

Call Containment Rate

25+

Languages Supported

25+

Languages Supported

The Customer

The global financial services company, headquartered in New York, operates across 160 countries. It serves more than 65 million credit card customers through partnerships with 49 firms in North America, primarily large retail sector partners.

Challenge

The credit card customers of partner companies depend on the bank's customer service operations, including chat and IVR/contact center services, to resolve their credit card inquiries and requests. On average, the bank's contact center handles 15 million calls per month related to partner credit card queries, with call volumes increasing by 10-15% annually. The bank sought a cost-effective solution that prioritized customer satisfaction to address this growing challenge.

Solution

The company introduced a virtual assistant for customer support, developed using White Gator AI’s technology, capable of managing more than 80% of routine inquiries. Calls from customers are seamlessly redirected to web and chat channels. Leveraging advanced NLP and AI technologies, these virtual assistants provide automated responses that closely resemble human interaction, ensuring high accuracy.

Explore this case study to discover how major corporations are harnessing conversational AI to enhance the efficiency of customer support operations and foster customer satisfaction.