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ChatGPT in Service: Practical Innovation or Hype?

TechSee

the engine under the hood of ChatGPT), Bard (powered by LaMDA, from Google), and others promise to be able to understand user intent, scrutinize all available documentation or information, and provide contextual answers to every user query. Unlike traditional flow-based AI, the large language modeling behind GPT3.5 (the In a word, maybe.

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New Data Reveals How Critical Customer Service KPIs are Enhanced by Visual Assistance Technology

TechSee

For years, companies have battled to strike the right balance between customer service KPIs. For example, heavy emphasis on low AHT would often negatively impact customer satisfaction. Conversely, when trying to improve NPS, agents would often spend additional time building relationships with their customers, driving up call durations.

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When IVR meets Visual Assistance – Retaining the Lost Waiting Time

TechSee

Interactive voice response (IVR) is a technology that allows a computer to interact with customers through the use of voice and touch-tone telephone keypad. Today, IVR is a core technology well entrenched in call centers that has transcended way beyond its role as a simple customer routing system. .

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Next Issue Avoidance – How contact centers can preempt follow-up calls

TechSee

Many common customer issues can be easily predicted. Contact centers are perfectly placed to predict imminent customer queries. They’re already armed with a wealth of data about the actions customers have or haven’t taken along their journeys and the issues that are likely to arise in the near future. Take billing.

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. . Current state of DSS in contact centers. Take, for example, one of the more complex issues handled in contact centers – technical support.

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

It seems like every company in every industry wants to harness the power of AI to enhance operations and positively impact the lives of their customers. of major companies around the world are currently using AI customer service technologies, the second most common use of AI after IT. Customer-facing AI technologies. Biometrics.