TAMPA, Fla. (BLOOM)– In the future, your next vacation might not only be reserved, but also comprehended.
Artificial intelligence is gradually changing how travel platforms understand and predict what travelers want. Including sleep habits and food allergies, AI is going beyond basic customization to provide smooth, forward-looking experiences. This change, according to specialists, has the potential to impact everything from hotel check-ins to how rooms adapt before a guest even arrives.
“Many individuals believe that personalization relates to preferences,” statedAakanksha, a senior staff software engineer and systems architect. “However, in the long run, it’s about creating systems that adapt to the user — without needing continuous input.”
A paper reviewer at ESP, she has dedicated her career to developing large-scale systems that subtly enhance platform intelligence. She has operated at the junction of infrastructure, human behavior, and machine learning, influencing how products adapt to real-world challenges.
From Personalized to Predictive
Although numerous platforms provide saved filters and personalized recommendations, the upcoming advancement lies in predictive travel, where artificial intelligence evolves alongside user behavior.
If you reserved a mountain cabin last year, that’s one indicator,” Aakanksha stated. “But did you have a good night’s sleep? Did you leave early? Did you change the thermostat multiple times? The information is available. AI can understand more from what you didn’t mention than what you did.
A 2025 research report by Altiant revealed that 84% of high-net-worth travelersexpect tailored health and wellness services during their travels. According to specialists, providing these experiences on a large scale will rely more and more on AI-powered systems that can adjust instantly.
Picture a hotel room where the lights gradually get dimmer on their own, coffee is made to your preferred strength right when you normally wake up, and the temperature changes to match your ideal comfort level, all without needing any commands or app configurations.
These systems will subtly collect small signals from different stays and devices,” Aakanksha stated. “Each traveler turns into their own data repository. AI simply manages it.
Engineering Intelligence That Evolves
The greatest technical difficulty, Aakanksha mentioned, is not about storing preferences, but rather considering how they evolve.
Storage is simple. Adjusting to change is difficult,” she stated. “You require models that consider time as a fundamental factor and systems that change as behavior alters.
She highlighted that AI systems need to stay understandable and based on ethical principles, especially in sectors such as travel, where privacy and trust are just as important as ease of use.
Her engineering efforts have centered around transparent systems that clarify predictions instead of concealing them. “The best AI doesn’t merely inform you of its actions,” she stated. “It demonstrates the reasoning behind them.”
Privacy and Forecasting Need to Be Balanced
As AI gains more access to behavioral data, Aakanksha cautioned that prediction should be combined with privacy-by-design.
It’s not sufficient to just follow the rules,” she stated. “Users need to be aware of what is gathered, how it is utilized, and should have authority over it.
She has consistently supported the development of ethical AI, including throughout her time in office.as a juror at the 2025 Globee® Awards for Technology. Her published work, including a document regarding machine learning operations, examines how expandable AI can be flexible and ethical in changing settings.
The Tomorrow: Unseen, But Smart
In the end, Aakanksha thinks the most enjoyable experiences won’t seem “intelligent,” but rather seamless. No configuration options. No notifications. Just technologies that automatically adjust the lighting, play music, or prepare breakfast, and know when not to.
The future isn’t a characteristic,” she stated. “It’s a framework that understands you—and still allows you to refuse.
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