Artificial intelligence is reshaping one of the most important parts of the travel and hospitality industry: customer rewards and loyalty programs.
For airlines, hotels, and travel platforms, loyalty has always been a key revenue driver. Traditional programs have been based on static tiers, generic perks, and delayed rewards, and these are increasingly out of step with modern customer expectations. AI is changing that by making loyalty programs more personalized, dynamic, and predictive.
From One-Size-Fits-All to Personalization at Scale
At its core, AI allows companies to move from a “one-size-fits-all” model to individualized engagement. Instead of offering the same rewards to every customer within a tier, AI can tailor offers in real time by analyzing massive datasets that encompass booking history, browsing behavior, spending patterns, and even contextual signals like time of year or travel purpose.
Take the example of Marriott, which is in the midst of a significant multi-year digital technology overhaul. Part of the budget is earmarked for AI, and this investment has the potential to be particularly impactful. With 271 million Bonvoy loyalty program members, Marriott owns a massive, incredibly valuable database of customer information—one of the largest loyalty ecosystems in the industry. Because an AI model’s predictive power depends on the quality and amount of the data it’s trained on, this proprietary database can help the company build AI agents capable of producing deep insights about guests.
These insights could further enhance Bonvoy’s ability to provide personalized offers and recommendations to members, which it already does via predictive analytics. Bonvoy can suggest specific destinations, room upgrades, or experiences based on a guest’s past stays and preferences. A business traveler who frequently books weekday stays might receive targeted offers for weekend leisure trips, while a family traveler might see promotions for resorts with kid-friendly amenities.
Smarter Incentives in Airline Loyalty Programs
Airlines are also leveraging AI to modernize their frequent flyer programs. Delta Air Lines has invested heavily in machine learning to better understand customer behavior and optimize its SkyMiles program. AI helps Delta determine which customers are most likely to respond to certain incentives—for example, bonus miles, seat upgrades, or co-branded credit card offers—and deliver them at the right moment.
For instance, if a traveler is browsing flights but hasn’t booked, AI can trigger a personalized offer to nudge conversion, such as a limited-time mileage bonus. These timely, targeted incentives make loyalty programs feel more relevant and valuable to customers.
Dynamic Pricing Comes to Rewards
Dynamic pricing—long used for tickets and hotel rooms—is now being applied to rewards themselves. Traditionally, redeeming points required fixed thresholds: a flight might cost 25,000 miles regardless of demand. AI enables dynamic redemption pricing, where the number of points required fluctuates based on factors like demand, availability, and customer value. Most major airlines have adopted this approach, using AI to adjust award pricing more flexibly and wring as many dollars as possible from their inventory.
However, many customers are not fans of this change. Wide swings in redemption rates can be common. Dynamic pricing can also lead to confusion as it is no longer easy to predict exactly how many miles are needed for a trip. Keeping basic benchmarks or price floors in place can alleviate some of this confusion, and customers can still get deals by booking with flexible dates off-season. Still, the switch to dynamic pricing is a serious point of contention for many loyalty program members—even though it is without a doubt here to stay.
Enhancing the Human Side of Loyalty
AI can be deployed to enhance the emotional or human side of loyalty, not just the transactional aspect. Natural language processing (NLP) and sentiment analysis allow companies to understand how customers feel about their experiences and what motivates their travel.
During Marriott’s 2025 earnings call, CEO Anthony Capuano informed investors about the company’s NLP projects. Plans are in place to deploy NLP capabilities in the Bonvoy app and on Marriott.com in the first half of 2026, after earlier testing a similar natural language search function on Marriott’s Homes & Villas rental site. Users could search using conversational phrases with as much or as little information as they chose—for example, “Beach house near Miami with a pool available 5 nights in August” or “I want to go to Berlin next fall with my dog.” This testing revealed that users saved twice as many properties as they did when using the traditional search function. It also provided Marriott with valuable information about how their customers think about travel.
AI-Powered Chatbots and Virtual Assistants
Chatbots and virtual assistants are another AI-powered tool improving loyalty engagement. These assistants can also recommend personalized deals, making loyalty programs more accessible and interactive. Instead of navigating complex rules, customers can simply ask, “How can I use my points for this trip?” and receive tailored guidance.
For example, Concierge is an AI digital assistant available in the Delta app for SkyMiles members. Launched in 2025 in beta version, it can answer questions in real-time 24 hours or less before a flight, track bags and claim status, and provide personalized answers based on the member’s history.
The Future: Invisible and Experiential Loyalty
Looking ahead, AI is likely to make loyalty programs more seamless and experiential. We are already seeing early examples of “invisible loyalty,” where rewards are applied automatically without requiring customers to think about points at all.
For instance, a hotel might automatically offer a free upgrade or late checkout based on AI predictions of customer value and satisfaction, without the guest needing to request it. Marriott is already doing something similar with its automated complimentary upgrade (ACU) system, which launched last summer. The system prioritizes and automatically assigns upgrades to Bonvoy members based on their membership tier, spending, and stay frequency.
In addition, generative AI is opening new possibilities for personalized travel experiences tied to loyalty programs. One day, customers might receive a fully customized itinerary—flights, hotels, activities—optimized not only for their preferences, but also for maximizing rewards benefits.
Conclusion
Ultimately, AI is transforming loyalty programs from static systems into living, adaptive ecosystems. The companies that succeed will be those that use AI not just to maximize short-term revenue, but to build genuine, long-term relationships with their customers. In an industry where experiences matter as much as transactions, that shift could make all the difference.