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Transforming Customer Experience with Contact Center Automation

CCNG

Understanding The Intricacies of Contact Center Automation Contact center automation involves automating and optimizing customer service through the strategic use of technologies like Artificial Intelligence (AI), Interactive Voice Response (IVR) systems, Natural Language Processing (NLP), Machine Learning (ML), Robotic Process Automation (RPA) etc.

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The Importance of Creating a Complete Business Continuity Plan for Contact Centers

CCNG

If I had to go to a manual method at my call center (using a different method of logging tickets, because I lost my CRM or my ticketing system) then how do I get back into getting that data back into the systems? Your key business applications (CRM, your ticketing system, etc.) And agent availability is the last big one.

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Successful Customer Service is Personal

CCNG

Isn’t this the foundation of a CRM strategy? Don’t we feel more valued when we interact with an organization that knows who we are and values what we spend with them? BOTs, IVRs and AI might be glitzy, but they rarely build strong relationships. Bob can be reached via the CCNG website member directory or on LinkedIn.

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Forecasting Customer Experience Trends Over the Next Year

CCNG

The Two Main Types of AI Benefitting The Contact Center Generative AI is responsive and can generate high-quality text, images, responses, and content and utilize logic based on how it is trained. This is the foundation for AI agents, conversational AI, AI-assisted IVR, and a lot of the customer-facing AI you hear about.