Data is everywhere. Companies today have access to more data about their customers and products than ever before. In some cases, it’s an almost overwhelming amount of information. In fact, most companies only use 1% of their data. But with the help of predictive analytics and AI, companies can dig deeper into their data to provide personalized customer experiences. Predictive analytics use science to predict what will happen in the future—everything from what customers will want to how the market will perform and the biggest trends. Brands can use this information to target the right customers and provide personalized service and recommendations.

Here are 10 examples of AI-powered predictive experiences that are changing how brands interact with customers.

1. Sprint Uses AI To Lower Churn Rate

Predictive analytics have transformed how Sprint interacts with customers and dramatically improved the customer experience. Sprint customer service agents used to manually analyze customer data, but it was cumbersome and ineffective. The company now uses an AI-powered algorithm to identify the customers at risk of churn and proactively provide personalized retention offers. AI predicts what customers want and gives them the offer when they are most at risk for leaving the company. Since switching to AI, Sprint’s churn rate has dropped dramatically, and customers have given the company great scores on its personalized service and targeted offers.

2. Harley Davidson Targets Potential Customers With AI

The popular motorcycle company relies on predictive analytics to target potential customers, generate leads and close sales. When customers are targeted directly, they can have a more personalized experience that leads to higher satisfaction. Harley Davidson uses an AI program called Albert to identify potential high-value customers ready to make a purchase. A sales representative can then contact the customers directly and walk them through the sales process to find the perfect motorcycle. It’s a win for both sides: customers get personalized service at the moment they’re ready to make a purchase, and the company can focus on serious customers.