AI Use Cases for CX: Driving Immediate Business Impact

AI use cases for customer experience (AI for CX) can add value to any company across most industries and bring many benefits. Throughout my career, I’ve enjoyed working on and implementing revenue-generating CX use cases. These types of use cases help companies drive immediate revenue quickly.

This is especially relevant given Teradata’s research with NewtonX, which found that 84% of executives expect to see results from AI initiatives within a year. Additionally, 50% of executives aim to improve customer experience, with 42% reporting success in doing so. AI-driven CX use cases offer immediate impact and untapped potential, making them an excellent investment for organizations.

Benefits of AI for CX use cases

Fast time to value

In my experience, AI for CX use cases are some of the quickest AI use cases to implement and derive value from, especially in digital environments. I recall working at a large financial services company, where we leveraged AI across multiple digital properties—ATMs, mobile apps, websites, and more—to build a recommendation engine. By optimizing customer interactions through AI, we significantly increased customer lifetime value.

What sets AI for CX use cases apart? It’s their speed to deriving value—leading to significant impact for medium to large companies. 

Measurable ROI

Another reason I favor AI for CX use cases is their ability to produce trackable, measurable results. It’s easy to set up experiments and tests to assess incrementality and determine how AI-driven changes improve key metrics. When these use cases align well with company objectives, you can directly measure their impact on customer retention, engagement, and revenue growth.

Customer-focused approach

AI for CX use cases require you to focus on customers to gain a deep understanding of their needs and determine intentional strategies and efforts to enhance their experiences. For example, in the financial services recommendation engine I mentioned earlier, the goal was to guide customers to the next best action tailored to their needs. AI allowed us to optimize for what was truly best for the customer, ensuring they received the right products and services at the right time.

When organizations prioritize customer needs, they drive better outcomes—whether through acquisition, cross-selling, increased engagement, or higher retention rates. AI enhances this by providing data-driven insights that personalize and optimize customer interactions.

Business value and alignment with KPIs

AI for CX use cases deliver clear business value that is easy to communicate to leadership. The metrics measured—customer acquisition, retention, engagement, and other metrics—align with departmental and company-wide key performance indicators (KPIs). Every company needs to attract new customers, retain existing ones, and increase engagement. AI-driven CX use cases enable companies to achieve these goals efficiently and effectively.

Creating value with AI for CX use cases

AI for CX use cases offer fast impact, immediate time to value, and ease of implementation. At Teradata, we provide a suite of AI for CX use cases that can be deployed quickly and efficiently to drive measurable business outcomes. To learn more, visit our CX page.

You can also learn how Telefónica Argentina works with Teradata to generate over $190M USD in incremental monthly revenue by creating and delivering hyper-contextualized offers to its millions of customers.

And, for a hands-on demonstration of 250+ use cases, try our ClearScape Analytics™ Experience for free.