10 Examples of Predictive Customer Experience Outcomes Powered
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The document outlines ten examples of how companies utilize AI for predictive customer experience, showcasing the impact on customer satisfaction and operational efficiency. Examples include Sprint reducing churn rates through targeted offers, Harley Davidson identifying potential customers for personalized service, and Netflix enhancing user engagement with tailored recommendations. Other organizations like Volvo, Sephora, and American Express utilize data analytics to predict customer needs, preferences, and potential issues, thereby improving overall service quality.
10 Examples of Predictive Customer Experience Outcomes Powered
- 1. 10 EXAMPLES OF PREDICTIVE CUSTOMER EXPERIENCE OUTCOMES POWERED BY AI Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 2. 10 EXAMPLES OF PREDICTIVE CUSTOMER EXPERIENCE OUTCOMES POWERED BY AI Sprint Uses AI To Lower Churn Rate 01 Harley Davidson Targets Potential Customers With AI 02 Volvo’s AI Program Detects Faulty Parts 03 Netflix Uses Data For Personalise d Recomme ndation 04 Sephora Helps Customers Find The Right Products With AI 05 Royal Bank of Scotland Combines Data To Proactively Solve Problems 06 American Express Uses AI To Predict And Stop Fraud 07 Caesars Palace Predicts The Best Guest Upgrades 08 Progressive Turns Customer Data Into Accurate Policies 09 Go-go Air Predicts Customer Trends and Demand With AI 10 Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 3. 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 analyse 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. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 4. 1. Sprint Uses AI To Lower Churn Rate 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. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 5. 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. 2. Harley Davidson Targets Potential Customers With AI Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 6. 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. Copyright reserved JBS Academy Pvt. Ltd. © 2. Harley Davidson Targets Potential Customers With AI With special thanks to Gripel Team
- 7. 3. Volvo’s AI Program Detects Faulty Parts The fastest way to ruin a car experience is to have something break down unexpectedly. Volvo uses data to predict when cars need to be serviced and what parts need to be repaired or replaced. Volvo’s Early Warning System analyses over one million events every week to predict each part’s breakdown rate. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 8. 3. Volvo’s AI Program Detects Faulty Parts With that information, the company can recommend service and maintenance plans to customers before the part breaks and creates a bigger problem. Volvo also uses AI-powered data to track and predict the most popular and most comfortable features for drivers. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 9. No list of predictive analytics companies would complete without Netflix. Everything Netflix does is based on data, from the shows it creates to the movies it promotes. Netflix collects huge amounts of data on each user that it puts into an AI-powered algorithm to predict what they’ll want to watch next. Data like demographics, watch history, ratings and preferences influence what the algorithm will predict, and it’s almost always accurate. 4. Netflix Uses Data For Personalised Recommendations Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 10. 4. Netflix Uses Data For Personalised Recommendations About 80% of what is watched on Netflix is due to the recommendations. Having such a strong system saves the company $1 billion a year in customer retention. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 11. Finding new makeup and beauty products can be overwhelming for customers, but with Sephora’s many technology offerings, customers can be confident they’re getting the right products for their lifestyle and skin tone. Sephora’s data creates personalized profiles for each customer based on their purchase history and preferences. 5. Sephora Helps Customers Find The Right Products With AI Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 12. AI then sorts through that data to predict the products customers need and puts them in a customized “Recommended for You” section on its home page. Sephora also uses data on how much customers have spent that year to predict their loyalty and send targeted rewards and marketing messages. The systems are working; 80% of customers are completely loyal to Sephora. Copyright reserved JBS Academy Pvt. Ltd. © 5. Sephora Helps Customers Find The Right Products With AI With special thanks to Gripel Team
- 13. Banking is all about numbers and patterns. Royal Bank of Scotland uses those patterns to predict what products a customer may want and what issues may arise. Real-time data analytics help the company track complaints so it can understand the big issues and predict what questions or complaints customers may have. Copyright reserved JBS Academy Pvt. Ltd. © 6. Royal Bank of Scotland Combines Data To Proactively Solve Problems With special thanks to Gripel Team
- 14. 6. Royal Bank of Scotland Combines Data To Proactively Solve Problems It can then deploy the right resources and ensure that customers are taken care of quickly. Having all of the data together in one dashboard makes it easy to understand customers, predict what they want and then make it happen automatically. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 15. 7. American Express Uses AI To Predict And Stop Fraud Credit card fraud can ruin a customer’s experience, and customers want to know they have a card they can trust. American Express uses analytics to predict potential fraud and identify customers at the highest risk. The company can then take proactive action like personal calls or direct marketing. By finding potential attacks before they occur and helping customers stay safe, American Express creates loyal customers and one of the lowest fraud loss rates in the industry. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 16. 8. Caesars Palace Predicts The Best Guest Upgrades The high stakes world of customer experience at a top hotel and casino is a gamble. In order to know the best upgrades to offer guests, Caesar’s Palace uses AI-powered analytics. The company collects data on its guests and then uses that to predict what types of upgrades would be most effective for each guest. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 17. A free meal could be enough for one guest to have a great experience, but someone else may require a free night’s stay. Predictive analytics helps the company know what upgrades to offer to get a potentially big money guest to stay at its hotel. 8. Caesars Palace Predicts The Best Guest Upgrades Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 18. 9. Progressive Turns Customer Data Into Accurate Policies Insurance customers can opt into sharing their driving data with Progressive. The company has collected billions of miles of driving data, which it then puts into an algorithm to understand the factors that contribute to certain driving issues. Data predicts what customers are at a higher risk for accidents. When policies are more accurate, all customers save money. Progressive can better understand the insurance marketplace and adjust its offerings based on predictive trends to get rid of bottlenecks and focus on providing quick, accurate service. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 19. 10. Go-go Air Predicts Customer Trends and Demand With AI If you’ve flown on a major airline, you’ve likely been exposed to Go-go Air, the company that provides internet access and in-flight entertainment. Go-go Air collects data from all of its customers to better understand how to improve the service and customer experience. The AI-powered algorithm shows what products customers are using most and how they will be used in the future. Copyright reserved JBS Academy Pvt. Ltd. © With special thanks to Gripel Team
- 20. Copyright reserved JBS Academy Pvt. Ltd. © Special thanks With Special Thanks to Gripel Team With special thanks to Gripel Team
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