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Personalization Strategies for Inbound and Outbound Banking Calls: A Technology Perspective

Hodusoft

The core of personalized interactions is call center software, both inbound and outbound, with advanced analytics and machine learning capabilities. Customer Relationship Management (CRM) Systems CRM systems are essential for gathering and organizing customer information at different points of contact.

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Your Introduction to Call Center Automation

Fonolo

Statistical machine learning This type of automation technology focuses on analyzing and mapping patterns in your customer and data, agent activity, and much more. For example, agent might receive pop-ups on their screen with recommendations on how to upsell the customer or legal topics to avoid.

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The One Relationship That Determines The Success of Your VoC Program

PeopleMetrics

IT can also help create an automated system for this process, such as connecting a point-of-sale system or CRM to your VoC software platform via an API. Legal & Procurement. The other internal departments that you will likely need to interact with are legal and procurement. The Analyst. Sean holds a Ph.D.

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Applications that Improve the Customer Journey

DMG Consulting

DMG defines IVAs as: specialized technology that utilizes artificial intelligence, machine learning, advanced speech technologies, and free dialogue understanding to simulate live cognitive assistance for voice, text or digital interactions via a digital persona. Legally binding digital e-Signature. Technology. How it Works.

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Current Status of Speech (and Text) Analytics

DMG Consulting

Interaction analytics capabilities are now finding their way into many third-party systems, including cloud-based contact center infrastructure solutions, customer relationship management (CRM) solutions, voice-of-the-customer (VoC) offerings, BI applications, and more.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.