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AI, as well as machine learning (ML) and natural language a national tire store is going to be completely different processing (NLP), are powerful tools that are starting to than shopping for a new party dress at that high-end make an impact in the contact center—and this is a good department store. And it should be. However, one size thing. Well thought out and executed solutions based on does not fit all. As we know from today’s customers, these technologies promise to be a powerful combination. they want an experience that is unique to them. However, painting your contact center with a broad stroke of AI may not be the answer. AI needs to be applied in With AI, ML, and NLP combined, it can be. Customizing a specific way where companies like yours can see real each experience based on millions, or even billions, of past value, quickly. customer interactions across a variety of verticals, each customer will experience your brand in a way that is truly To gain that quick value, we predict that by 2030 (possibly unique to them. sooner), AI will drive verticalization in the contact center industry to pinpoint each customer’s needs in a certain As AI drives the verticalization of the customer experience sector and then effectively carry them on a personalized and journey orchestration, along with unique experiences journey with every brand. to align contact center resources to meet the specific needs of each customer, Veruca may get her golden Think about this for just a minute. The type of service goose yet. and experience you receive while shopping for tires at Contact Center Predictions for 2023 and Beyond 30

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