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Harnessing the Power of Generative AI in CRM

SugarCRM

In today’s business landscape, it’s hard to find an organization that operates without CRM tools, even in its primitive forms. However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception.

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Making Self-Service More Intelligent

DMG Consulting

The rapid progress of artificial intelligence, especially generative AI, is leading to vastly smarter and more capable bots. Leveling Up Bots Intelligent self-service applications are based on several AI technologies, including machine learning, advanced speech technologies (e.g.,

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A History of Customer Support Technology

TeamSupport

1980s-1990s: The Dawn of CRM Software The next two decades saw the adoption of computerized systems for customer support. Companies started using customer relationship management (CRM) software to manage customer information and interactions. One of the early pioneers in CRM software was ACT!,

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Elevating Customer Support: Five Goals to Strive for in 2024

TeamSupport

Embracing an omnichannel approach ensures that customers can switch between channels without losing the context of their requests. Implementing advanced customer relationship management (CRM) systems can help streamline information, allowing agents to provide more personalized and efficient support.

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Predictive AI: How to Use AI To Power Your Sales Efforts

SugarCRM

Artificial Intelligence has slowly made its way into our daily lives, whether discussing self-driving cars, recommender tools, or complex predictive and personalized marketing and sales forecasting tools. ChatGPT also plays a huge role in driving the large-scale adoption of AI. How Does Predictive AI Work in Selling?

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The Evolution of Customer Relationship Management: A Look at the Last Five Years

SugarCRM

When you think about Customer Relationship Management (CRM), sales and contact management may be the first thing you associate with it. The ability to track individual customer interactions and analyze that data is a game-changer, especially in an age where customers crave a personalized experience.

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Three Pillars of AI for Contact Centers

DMG Consulting

Three Pillars of AI for Contact Centers. Artificial intelligence (AI) is a very broad concept and set of technologies, which must be targeted to a specific challenge in order to be effective. The first of the three AI pillars is a grouping of technologies that allow organizations to understand what customers are saying.