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How AI and CRM are Changing the Future & Face of Customer Service

Comm100

There is a lot of curiosity surrounding the latest technological advancements, and Artificial Intelligence (AI) and Customer Relationship Management (CRM) are no different. AI and CRM are a match made in heaven. But yes, improvements are still required when implementing AI or CRM software.

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CCaaS Trends: The Evolution of Cloud Contact Centres

Lumoa

Artificial Intelligence Ever since 2016, the continuous advancements in technology have culminated in a disruption of contact centers on an industrial scale. The technology’s growth in the current year has been coming for some time now and is expected to influence contact centers massively.

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Moreover, the operation of such complex contact centers is supported by technology. Importance of Contact Center Technology Stack. Contact center technology has come a long way since the early days of call centers. Traditionally, technology has enabled functional teams with time to focus on their core jobs.

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IVAs: Using AI to Serve Customers and Contact Centers

DMG Consulting

Intelligent virtual agents (IVAs) represent the future of omnichannel self-service, a new standard of voice and digital self-service in a channel-optimized format. There are dozens of artificial intelligence (AI) technologies available today, but the three that are core for IVAs are NLP/NLU/NLG, real-time analytics, and machine learning (ML).

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Give Customers What They Want: Great Self-Service

DMG Consulting

DMG estimates that more than 90 percent of the self-service solutions in use today are outdated and need a complete overhaul of their technology, functionality, and user experience. Many of these voice-based self-service solutions were built more than 10 or 15 years ago, when the technology was limited. & Solving the Problem.

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CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

CX automation involves leveraging technologies such as AI (artificial intelligence) and RPA (robotic process automation) to automate customer support and marketing campaigns, collect and analyze customer feedback, and personalize customer experience. However, it is advisable to rely on it only in certain situations.

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Customer-Driven Innovation: Using Feedback to Shape Product Development

SurveySensum

To aid you in the entire process, you can use automation and machine learning (ML) to help analyze data based on patterns or trends. Leverage digital tools and technologies. Think of automation, artificial intelligence (AI), customer relationships management (CRM), and more.