Travelers want AI search – Its most powerful use case may be loyalty redemption
Imagine a member typing or speaking "anniversary trip to Europe in June, using just my miles" and instantly getting relevant options complete with upgrade paths and partner hotel mileage offers, all explained in plain language. No repeated searches with different locations and dates. No wondering if they're getting good value.
User speaks or types a natural language description of their desired experience and quickly gets a menu of destinations that fit their unique characteristics
User gets curated destination detail with the ability to book flights, hotels, and other trip bundles for that destination.
This isn't just some dreamy, futuristic vision. You could be delivering this experience today, even with your existing airline systems. The technology exists, and yes, traveler expectations have evolved, but the opportunity to deliver truly modern redemption experiences is here and more accessible than ever.
The historical roadblock
Redemption friction has become the strongest driver of loyalty sentiment, yet many programs still struggle to deliver clear, confident redemption experiences. The problem is the convergence of multiple forces working together to create frustration at the moment that matters most.
Loyalty member expectations have shifted
While many airlines present deal pages that expose miles, loyalty members aren’t often motivated to act because these aren’t presented in the context of their desired trip characteristics. In current practice, loyalty members are asked to test date and destination combinations and compare options without clear guidance, while legacy infrastructure struggles to support an exploratory, flexible comparison experience. What members expect now are experiences thatguidedecisions rather than force them to run numerous searches. And they compare airline loyalty programs not just to other airlines’ programs, but to credit card portals and retailer programs that are broader, more familiar, and more widely used. As digital commerce becomes more personalized and flexible elsewhere, rigid search forms and fragmented workflows feel increasingly outdated.
Research confirms the impact
62% of U.S. consumers say UX issues make loyalty booking unnecessarily difficult.¹ J.D. Power found redemption ease is now the #1 satisfaction driver, outweighing earning rates and elite benefits.² Award availability has declined across major carriers,³ and younger travelers cite complex redemption as a leading reason for disengagement.⁴
Redemption balance constraints compound frustration
Many loyalty members approach redemption with a fixed mileage budget. When options that fit within that balance are difficult to find, redemption quickly becomes frustrating. Award options can be difficult to surface at lower mileage levels. Cash and award shopping often operate separately, forcing loyalty members to toggle between tabs and manually reconcile results. The result is that the fun and excitement of using miles, the real loyalty payoff, turns into decision fatigue and abandonment.
Why its been hard to fix
These challenges stem from structural realities. Airline retailing technology was built for structured inputs, origin, destination, cabin level, and dates, not natural-language intent and conversation. As award pricing has become more dynamic and reflective of current revenue pricing, finding cheaper redemption opportunities has become more constrained. While Offer and Order initiatives point toward a more flexible future, most workflows still reflect earlier models.
The good news
AI doesn't require you to rip out legacy systems or wait for Offer & Order migration. Instead, it sits in front of your existing systems as an AI-powered search layer, translating natural language into the structured queries your systems understand, intelligently selecting destinations and dates that meet the user’s desires and mileage budget. The transformation happens at the surface, not in the core. This means faster deployment, lower risk, and immediate traveler impact.
AI has reshaped traveler behavior
AI has already changed how travelers discover destinations, evaluate their options, and seek guidance during trip planning. The change is not just in speed or convenience, but in how travelers structure their planning process. Instead of starting with destination and dates, many travelers now begin with goals, constraints, and preferences:
- "What relaxing tropical locations can my spouse and I visit in February using just my miles?"
- "Find me some great redemption options for West Coast trips, but no red-eyes!"
- "Are there any non-stop flights to London in March with window seats available?"
These prompts communicate not just where and when someone wants to go, but why, under what conditions, and with what priorities. AI interprets this nuanced intent and translates it into structured queries that existing systems can understand. This shifts how loyalty members approach decisions, such as how to use miles, with planning starting from intent rather than trial-and-error navigation.
How AI solutions help
Although core airline systems evolve slowly, AI introduces new ways to improve the redemption experience within existing systems and constraints. Rather than replacing foundational infrastructure, modern AI capabilities sit in front of current retail and loyalty systems to interpret intent, provide guidance, and reduce the effort required of travelers. By increasing the likelihood that members complete redemptions that fit within their balance, these experiences accelerate mileage burn, reducing outstanding loyalty liability while improving engagement. When applied thoughtfully, AI helps bridge the gap between legacy systems and modern customer expectations.
AI's impact is most visible in several areas:
Intent-driven discovery
AI can interpret complex traveler goals and surface relevant redemption options even when the traveler is unsure how to search. It does this by parsing longer, descriptive requests and extracting intent signals such as destination preferences, mood, timing flexibility, loyalty balance, and constraints. These signals are then translated into targeted queries across existing shopping, loyalty, and availability systems. Instead of forcing members to translate their needs into rigid inputs, AI does that work for them, helping loyalty members feel guided rather than tested. From a program perspective, improving the match between member intent and available options increases completion rates, converting dormant balances into active mileage burn.
Real-time optimization and tradeoff explanations
AI can evaluate availability, pricing, trip characteristics, and loyalty balance together to present options with clear context. Rather than relying on a single system to compute outcomes, AI reconciles results from multiple sources at the experience layer. This allows loyalty members to understand tradeoffs across convenience, cabin level, mileage cost, and connection count, reducing uncertainty at the point of decision.
Unified cash fare and reward shopping
AI can help bring cash and mileage options into a more cohesive decision flow, even when underlying pricing engines remain separate. It does this by coordinating queries across revenue and loyalty systems and presenting the results through a consistent interface. This reduces fragmentation and allows loyalty members to evaluate tradeoffs without switching tools or manually reconciling results. Presenting cash and mileage options together also will enable airlines to steer redemptions toward inventory and price points that balance member value with program economics, improving burn efficiency.
Natural language support
Through conversational interfaces, travelers can ask clarifying questions in plain language about fees, eligibility, routing rules, or upgrade paths. AI enables this by mapping questions to the appropriate policy, fare, loyalty, or inventory data sources and translating outputs into clear explanations. This reduces trial-and-error and lowers an airline’s support burden.
Expanded partner and intermodal trip discovery
AI can surface partner travel products such as hotels, rail, car rental, and experiences, and help assemble multi-part itineraries that are funded entirely or partially with loyalty currency. It does this by coordinating discovery across partner inventories and loyalty balance rules, even when those systems are not natively integrated. By broadening the options for redeeming miles, programs reduce the perception that miles are difficult to use or limited to flights alone, thereby steadily lowering outstanding mileage liability across the program.
Load-aware execution
AI interfaces can be designed to operate within existing system limits by managing how and when requests are made to core systems. By adhering to caching strategies, availability controls, and rate thresholds, AI can intelligently sequence queries and reuse results where appropriate. This allows airlines to improve the customer experience without overwhelming underlying infrastructure or introducing operational risk.
Together, these capabilities can deliver a more guided, confidence-building experience that drives higher redemption rates, increases mileage burn, and improves the loyalty program's long-term financial health.
What loyalty leaders should prioritize for 2026
Loyalty teams do not need to wait for full Offer & Order transformation or major core system rewrites to improve redemption. Meaningful progress can be made today by focusing on clarity, reducing friction, and introducing AI-driven assistance where travelers experience the most pain.
Below are four high-impact priorities, each with tangible steps loyalty executives can take over the next 12 months.
1) Introduce AI search
Most loyalty sites require members to choose a destination before they can search. Intent-driven discovery surfaces possibilities based on descriptive trip goals and preferences. Leaders can take concrete steps to bring this capability to life:
- Enable natural-language search: Allow travelers to express goals such as “a weekend getaway that I can afford with my balance,” even if those inputs are translated into structured queries behind the scenes.
- Offer "balance-aware inspiration tools": Highlight destinations and experiences that travelers can reach with their current mileage balance.
- Surface thematic bundles: Present categories such as beach destinations, ski trips, or seasonal events grounded in actual award availability.
- Support intermodal and partner discovery: Use AI to assemble flight, hotel, rail, and car options into a single discovery flow, expanding redemption beyond flights alone.
2) Highlight value
Value perception is a driver of trust in a loyalty program. Even when award availability exists, uncertainty around whether the redemption is worthwhile often leads to hesitation or abandonment. Loyalty leaders can improve this through experience-layer enhancements such as:
- Dynamic value indicators: Show whether a redemption is better than usual for a given route, cabin, or season, and provide prompts such as “Great value” to surface valuable opportunities.
- Explain price shifts: Offer simple explanations tied to demand patterns, seasonality, or inventory constraints so pricing feels purposeful rather than arbitrary.
- Educate without overwhelming: Use brief, context-aware guidance rather than lengthy explanations or static FAQ pages.
3) Prepare for conversational interfaces
Conversational AI is becoming a standard part of digital experiences, including loyalty. Members increasingly want in-the-moment help when navigating rules, eligibility, or how to use their balance, and they want to engage with natural language. Leaders can begin preparing by:
- Structure loyalty content to ensure rules, policies, and logic are current and clearly defined, so conversational experiences can return accurate, reliable answers.
- Make loyalty data available through your MCP layer, so AI-driven experiences can provide accurate, real-time guidance on balances, eligibility, and redemption options.
4) Start to build internal alignment and assess readiness
Modernizing redemption with AI touches multiple teams, including loyalty, digital, IT, revenue management, and customer experience. Progress does not require lengthy planning cycles, but it does benefit from early alignment. Loyalty leaders can accelerate momentum by:
- Start conversations across teams: Align stakeholders on where AI can reduce redemption friction within existing system constraints. Early alignment helps avoid stalled initiatives later. (Mobican help with education and planning.)
- Prioritize based on impact: Use support data, abandonment signals, and member feedback to identify the 2–3 redemption pain points that matter most.
- Evaluate AI-native partners with proven travel expertise: Focus on providers that understand airline retail complexity and can operate alongside legacy systems. Favor solutions that can deliver visible results in months, not years.
- Plan for iterative deployment: Start with focused use cases such as upgrade eligibility questions or flexible-date award discovery, then expand based on performance and adoption.
Redemption modernization does not require massive budgets or multi-year programs. With the right approach, airlines can begin delivering measurable member-facing improvements within a matter of months.
Ultimately, loyalty comes from use, not accrual
Loyalty is strengthened not only when members earn miles, but when they can use them with confidence. A redemption experience that feels rewarding reinforces the emotional connection loyalty programs are designed to build. When redemption feels uncertain or frustrating, that connection weakens, regardless of how generous earning opportunities may be. Airlines have an opportunity to refocus loyalty around the moment that matters most: Use. Improving redemption does not require dismantling existing systems or waiting for a full retail transformation. It requires understanding traveler intent and reducing friction at points where confusion and hesitation most often occur. By introducing clearer guidance, more intuitive discovery, and AI-assisted support that works within existing systems, loyalty programs can help members use their miles more easily and more often. In doing so, airlines can protect trust, deepen engagement, and keep their loyalty programs relevant as traveler expectations continue to evolve.
The technology exists, and yes, member expectations have evolved, but the opportunity to deliver truly modern redemption experiences is here and more accessible than ever.