How Priceline’s CTO Is Rebuilding Travel With AI

Reorganizing Around Products

One of Amin’s first priorities after becoming a member of Priceline practically two years in the past was altering how engineering groups had been organized.

Historically, the corporate operated by way of useful groups, with separate organizations liable for front-end engineering, back-end engineering, design and product administration. While efficient in lots of respects, that construction created handoffs that slowed improvement and diluted accountability.

Priceline has since shifted to a product working mannequin during which cross-functional groups personal buyer experiences end-to-end. Rather than handing work between departments, groups now personal full merchandise reminiscent of motels, flights or rental automobiles. “The accountability stops leaking,” Amin famous.

Shared capabilities, together with knowledge platforms, finance techniques and buyer infrastructure, have adopted the identical philosophy. Those groups now function as product organizations with clear roadmaps that permit enterprise and engineering leaders to stay aligned.

Understanding Intent, Not Just Behavior

The firm’s AI technique additionally displays a broader shift in how Priceline thinks about buyer knowledge. Traditional journey platforms rely closely on behavioral indicators, reminiscent of earlier searches or bookings. Amin believes the extra beneficial info lies in understanding buyer intent.

Someone might constantly keep away from lengthy layovers, desire boutique motels or want bigger lodging when touring with youngsters. Those preferences usually reveal excess of historic transactions alone.

That considering helped form the redesign of Penny, Priceline’s AI-powered journey assistant. Penny combines behavioral historical past with buyer preferences to generate suggestions that really feel considerably extra customized. Importantly, vacationers may also evaluate and replace these preferences themselves. For Amin, that transparency builds belief whereas bettering future suggestions.

Simplifying the Booking Experience

The redesign of Penny started with a easy commentary. Customers loved interacting with the conversational assistant as a result of it was usually sooner than navigating conventional journey pages. The expertise broke down at any time when customers wanted to go away the dialog to finish one other process.

Priceline responded by redesigning the expertise round a single steady workflow that carries vacationers from discovery by way of reserving with out forcing them between a number of pages. Supporting that have required significantly greater than including a chatbot.

Behind the interface, a number of AI brokers work collectively whereas sharing reminiscence and context all through the interplay. Penny additionally attracts on a number of massive language fashions, together with Anthropic’s Claude. “That’s where the actual hard part is,” Amin emphasised. “It’s not generating the text. It’s building an interface that can follow an unpredictable user.”

AI Is Changing Software Development

Generative AI can be remodeling how Priceline builds software program internally. Engineering groups more and more use instruments reminiscent of Cursor and Claude Code to speed up improvement, serving to Priceline ship new capabilities extra rapidly. Amin stated the productiveness positive aspects grew to become particularly noticeable starting earlier this yr, contributing to the speedy rollout of Penny’s new capabilities.

Still, she cautions towards measuring success just by writing code sooner. Code technology represents solely a small portion of an engineer’s work. Requirements gathering, testing, code evaluations and refining buyer experiences stay equally vital. As AI takes on extra routine improvement work, Amin expects conventional boundaries separating engineers, product managers and designers to proceed fading.

She additionally distinguishes productiveness from enterprise affect. “Performance is whether the thing you shipped actually mattered,” she underscored. That philosophy has strengthened Priceline’s emphasis on sustaining secure product groups that develop deep buyer understanding over time.

Removing Friction from Travel

Ultimately, Amin sees AI much less as a technique to substitute vacationers than as a technique to get rid of the tedious work that surrounds planning a visit.

Rather than forcing clients to match lots of of evaluations or manually consider dozens of comparable properties, AI can summarize info, interpret traveler preferences and floor choices that higher match particular person wants. Amin repeatedly makes use of Penny herself, deliberately pushing it into unfamiliar conditions to establish alternatives for enchancment earlier than clients encounter them.

Looking forward, she sees voice interfaces changing into more and more vital, notably in customer support, and Priceline has already begun experimenting with applied sciences together with OpenAI’s GPT Realtime and Amazon’s Alexa+. Even so, she believes many journey choices will proceed to learn from visible comparability reasonably than purely conversational interactions.

She is equally considering figuring out how a lot accountability vacationers in the end wish to delegate to AI. Rather than assuming clients will hand over full management, Priceline envisions a spectrum during which vacationers determine how a lot help they need, from easy suggestions to more and more autonomous journey planning.

Peter High is President of Metis Strategy, a enterprise and IT advisory agency. He has written three bestselling books, together with his newest Getting to Nimble. He additionally moderates the Technovation podcast collection and speaks at conferences all over the world. Follow him on X @PeterAHigh.