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Banter Self Help 1.5 Drives Accurate and Automated Customer Service ResponseOffering built on Banter technology used by global software leadersSAN FRANCISCO, Calif. – October 24, 2001 – Banter, Inc., a leading provider of intelligent natural language analysis technologies, today announced the first stand-alone version of Banter Self Help, Version 1.5. This self-service application enables any customer or employee-facing Web site to automatically reply to end user questions with speed and accuracy, reducing stress on other support channels and significantly increasing customer satisfaction. Unlike other offerings, Banter Self Help actually increases in accuracy over time, through its unique, real-time learning engine. “Web-based self-service using Banter technology will transform the customer service experience in much the same way that automated teller machines did a number of years ago,” said Tom Aden, Banter president and CEO. “After the introduction of ATMs, customers came to expect quick and accurate service without the need for human interaction, which is exactly what Banter Self Help does for Web sites.” Banter Self Help is built on Banter’s industry standard Relationship Modeling Engine (RME), the technology used in Banter applications implemented by major organizations such as Wells Fargo, VeriSign, Nintendo, as well as technology embedded by major software vendors. Self Help was previously integrated with the Banter Reply application, licensed by major entities like the Royal Bank of Canada and ABN AMRO. Banter Self Help provides the following advantages: · Fast deployment. The RME technology used in Banter Self Help does not depend on programmers or rule makers, so the initial deployment happens in days, not months. · Easy user interface. The application uses Web-based feedback and analysis tools, allowing companies to easily review customer inquiries and to tune a knowledge base without the use of expensive consultants. · A single self-learning knowledge base for all channels. When Self Help is combined with other applications that use RME, such as Banter Reply, RME provides a single knowledge base for all channels that intakes feedback from all channels and automatically learns in real-time, giving each channel the most updated information. · Robust, proven technology. Banter Self Help is built on technology with an extensive real world track record at major enterprises. Gartner Sees Web Self-Service as Major Growth Area The Gartner Group sees customer self-service as one of the four key emerging trends for the next decade. “A range of technologies are improving customers’ ability to complete increasingly complex informational and service-based transactions without the need for human assistance,” said Jackie Fenn, vice president and research fellow for Gartner. “The non-technology factors driving this increased automation include strong return on investment, better customer reach, and improved service quality. This will ultimately result in increased competitiveness, and in savings that can be passed on to the customer.” About Banter Banter Inc. builds intelligent technologies to automate everyday communication. Powered by a unique, real-time adaptive engine, Banter's solutions address critical needs in managing information flows and customer relationships including applications for e-mail, on-line self-help, content management and business process automation. Based in San Francisco, Banter has offices in New York, Boston and Israel and is backed by Mayfield Fund, Lucent Venture Partners Inc., and Israel Seed Partners among others. Banter's customers range from members of the Fortune 500 to emerging companies and include such global entities as ABN AMRO America, VeriSign, and Wells Fargo Bank. In addition Banter partners with software leaders Peregrine, Siebel and others. For more information about how Banter can help your business, please visit the company's website at http://www.banter.com or call toll free 1-877-992-2683. Editorial Contact: Jennifer Crumpley Banter 415.247-2600 jcrumpley@banter.com top of page |
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