Gyst Case Study - Customer Success Story #1
Gyst Retail Banking Success Story

Gyst Case Study - Customer Success Story #1


"A no-brainer - provided an ROI of 5 months for the bank”

- SVP Of Operations, top five international bank.


The customer

This customer is one of the world’s largest banking and financial services organizations. It serves its customers from offices and branches in cities across the United States including New York, Los Angeles, Chicago, Atlanta, Houston, Seattle, Miami, San Francisco, and Washington, DC. Through its Wealth and Personal Banking, Commercial Banking, Private Banking, Global Banking, and Markets and Securities Services, the bank offers a full range of traditional banking products and services to individuals, including high net worth individuals, small businesses, corporations, institutions and governments.


The problem

The bank's operations team in the United States handles over 36 million calls per year, many of these via their existing Interactive Voice Response (IVR)?system. Our technology was implemented on the bank’s voice self-service retail banking voice application. This application was designed primarily for handling U.S. customer inquiries on personal checking accounts, though it also supported home loans, car loans, student loans, and similar retail services. The client’s voice application handles inquiries for available balance, funds transfer, transaction information, payment history, and general information. It serves account holders via publicly accessible toll-free numbers. While the IVR?solution front-ended all incoming phone calls, many callers were opting for an agent and the average handle time for automated calls was high.


The solution

During the initial proof of concept (PoC) period with the customer, we implemented our technology to determine what effect dynamically adjusting the audio playback rate of voice prompts in their IVR would have on voice self-service performance. During this period, we ran A/B tests on over 40,000 phone calls over a two week period. We also used Gyst Analytics to collect data on caller behavior as it relates to engagement within the voice application. Existing voice prompts were speed adjusted in direct relation to individual caller skills. During the initial proof of concept (PoC) period with the customer, audio playback speed adjustment levels of 102, 115, 117, 119, and 121 percent were used. A playback level of 100 indicates the normal playback rate of the audio, 115 represents 115 percent of normal, and so forth.

See the PoC results on over 40,000 phone calls on our?web site?here.


Looking forward to reading about the performance improvements in your customer case studies. The focus on voice self-service is timely and essential for the industry. How did the large retail bank find the initial transition and what were the most significant challenges faced?

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