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Service Level Agreement Compliance: How to Track Your SLAs

CSAT.AI

Service Level Agreements (SLAs) are a necessary part of the business-customer relationship. They need to be created with both your company’s unique needs and the needs of your customers. The right tools track your service level agreement compliance and evolve your SLAs. Agent Compliance Support with CSAT.AI

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New Year, New Rules: Consumer Trust, Data Privacy And Compliance In Contact Centers

CSAT.AI

Privacy compliance in contact centers poses unique challenges. Europe’s General Data Protection Regulation (GDPR) was just the beginning of attempts to bring more privacy and compliance protection to consumers. Contact Centers, Privacy and Compliance. Compliance and Consumer Trust. From GDPR to CCPA.

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Leveraging Advanced Call Center Software- Enhancing FCR in Banks and Financial Institutions

Hodusoft

After all, high FCR rates serve as a powerful indicator of well-functioning customer support operations, boosting customer experiences. Additionally, positive experiences lead to long-lasting customer relationships as satisfied customers are more likely to return and recommend the company to others.

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Interaction Analytics: Listening in on the Omnichannel Customer Journey

DMG Consulting

Most departments in an enterprise will benefit from a firsthand view of what customers think about the job they are doing; this includes auditing and compliance, risk management, legal, and collections departments. Sentiment analysis, for example, provides insights into the experience of both the customer and the employee.

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Voice of the Future: How Speech Analytics is Reshaping CX

MattsenKumar

As companies intensify their quest to deepen customer relationships, this technology emerges as a linchpin. It transforms how the company interacts with its customers, delivers valuable insights, and improves CX. Real-time interactions develop a sense of trust among customers for the brand.

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Interaction Analytics Helps Companies Hear their Customers

DMG Consulting

Emotion detection that uses language patterning and acoustic metrics to identify a wide range of emotions in customer interactions. Sentiment analysis to automatically detect, extract, and classify whether the conversation is positive, negative, or neutral; it should include the ability to differentiate sentiment by agent or customer.

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How Generative AI Can Uplift Your Voice of the Customer (VoC) Program

Experience Investigators

Voice of the Customer (VoC) programs have leveraged some level of artificial intelligence (AI) in many ways already, including pattern recognition, predictive analytics, and sentiment analysis. There are many ways AI is offering faster and more efficient ways to understand customer feedback and deliver better experiences.