Scaling Smarter: Managing Digital Shopping Scale in Modern Airline Retailing

How Accelya’s FLX ONE platform helps airlines manage look-to-book, protect retailing economics and improve outcomes across the travel ecosystem

Modern Airline Retailing is entering a new phase of scale. In 2025, airlines on the Accelya platform generated more than 8 trillion offers, while Accelya also supported roughly half of global NDC volumes, the modern order-based bookings at the heart of airline retailing transformation. Together, these figures give us a unique view of how digital shopping is evolving as airline retailing becomes more dynamic, personalised, and automated.

As digital shopping continues to grow, the key question is becoming how intelligently that volume is managed: how airlines distinguish genuine commercial intent from noise, reduce unnecessary workload, and convert rising demand into better outcomes for airlines, sellers, and travellers.

In Q1 2026, on the Accelya platform, NDC order sales grew faster than shopping demand, meaning a higher proportion of searches turned into sales. That matters because it shows look-to-book is not running out of control. On modern platforms, with the right architecture, cloud scale, and demand intelligence, it is being actively managed.

Look-to-book has therefore become one of the most important measures of how well modern airline retailing is scaling. Managed well, it supports more efficient retailing. Managed poorly, it can become a drag on cost, performance, and confidence in modern retailing adoption.

What look-to-book measures

To understand why this matters, it is worth stepping back to define the issue.

Every time someone searches for flights through an airline website, travel seller, comparison site, or automated shopping tool, the airline’s systems receive a shopping request. Look-to-book measures how many of those requests are made for every confirmed booking. In simple terms, it tells airlines how much digital shopping activity they must process to generate one sale.

That activity is growing, particularly in leisure and high-volume digital shopping environments. Comparison shopping, flexible-date exploration, automated re-shopping, and emerging AI travel assistants are increasing the frequency and complexity of requests hitting airline systems. Many of these requests are useful. Some represent genuine buying intent. Others are speculative, repetitive, invalid, or unlikely ever to convert. The challenge is telling the difference.

Not all shopping demand behaves the same way. Corporate booking tools contribute to request volumes, but that demand is typically more structured, policy-driven, and high-intent. Corporate travel demand is not the primary driver of today’s look-to-book pressure. Much of that pressure comes from high-volume leisure, exploratory, and automated shopping behaviours, where comparison shopping, flexible-date exploration, re-shopping, and AI-driven search can generate far higher request volumes.

The evolving challenge with look-to-book

The shift to NDC and direct-connect models brings that challenge closer to the airline. In the traditional model, much of the search-volume burden was mediated by GDS infrastructure before it reached the airline. As more shopping demand flows into airline-controlled retailing environments, airlines gain greater control over offer creation and customer experience through all channels. They also need, with their technology partners, to manage the economics of search more actively: deciding which requests are worth fresh processing, which can be handled more efficiently, and how rising digital demand is converted into bookings.

There is a second shift happening as well: each shopping request is becoming harder to serve.

Modern airline retailing is no longer a simple fare lookup. Each request now carries a much richer “payload” of work for the platform to process: more data, more rules, more content, and more decisions behind each response. As airlines introduce branded fares, bundles, ancillaries, eligibility rules, and more personalised content, a single shopping request may require real-time evaluation across availability, pricing, merchandising, channel rules, and offer construction.

In plain terms, each search requires more analysis and processing power to answer properly.

This also changes the role of caching. Caching relies on reusing a previously generated response when the same or very similar search is made again. That can work when fares and offers are relatively stable. But as airlines move toward dynamic pricing, personalised bundles, and richer ancillary content, the right answer can change quickly. A previously generated offer may no longer be accurate or relevant. Modern retailing increasingly requires current answers, not just reused ones.

That is why Accelya has focused its R&D on performance and inventory accuracy rather than relying on caching as the primary answer. Modern Airline Retailing depends on current, reliable offers that are accurate enough to fulfil and relevant enough to convert.

IATA’s recent work on look-to-book reflects the same shift. Its October 2025 paper, Look to Book: Managing Search Volumes While Creating Relevant Offers for the Customer, argues that traditional look-to-book measures remain important, but are no longer enough on their own as the industry moves toward offer-based retailing. It points to complementary metrics such as Offer-to-Order and CPU-to-Order, which look not just at how much traffic arrives, but how efficiently offers convert into orders and how much processing effort is required. The paper also makes clear that managing look-to-book is a shared ecosystem challenge, requiring closer collaboration between airlines, sellers, aggregators, and technology providers.

Taken together, three shifts are reshaping the look-to-book conversation: more shopping demand, more of that demand reaching airline-controlled systems, and richer, more dynamic requests that require current answers. That is why look-to-book has moved to the centre of the Modern Airline Retailing discussion.

How FLX ONE helps airlines and the wider ecosystem scale smarter

This is where architecture becomes decisive.

Accelya’s FLX ONE is our open, cloud-native platform for Modern Airline Retailing, spanning offer, order, settlement, and delivery capabilities. Built natively on the AWS Cloud, it is designed to manage digital shopping demand before unnecessary work is triggered, not simply add infrastructure after demand arrives.

AWS provides elastic cloud capacity that can scale up or down as shopping demand changes. FLX ONE applies that capacity under airline-defined commercial logic, using Accelya’s operating experience, proprietary algorithms, platform data, and FLX AIViator AI capabilities to help digital shopping scale in line with commercial priorities.

The architecture is designed to distinguish between different types of shopping activity. That means recognising duplicate and near-duplicate patterns, filtering invalid or out-of-scope requests, applying airline-controlled logic by channel, agency, route, cabin, and demand pattern, and reserving real-time offer creation for traffic that genuinely requires it.

For airlines, that creates practical control. They can define which types of requests should trigger fresh offer creation, which should be handled more efficiently, and where processing should be prioritised. They can protect high-intent shopping while managing lower-value or repetitive activity in the background. The result is not simply technical control. It is commercial control over how digital retailing scales.

That matters across the travel ecosystem. The goal is not to restrict legitimate shopping. It is to make digital retailing work better for everyone. Airlines gain greater control over offer creation, cost, and conversion. Sellers get more reliable access to accurate, relevant content, with less friction from unnecessary or low-value search activity. Travellers receive faster, more useful responses and offers that better match real intent.

Achieving that balance requires more than technology alone. Airlines need partners whose platforms and commercial models are aligned with their interests: converting more genuine demand into orders while maintaining reliable access for sellers and travellers. Intelligent demand management should mean clearer rules, more relevant content, and smoother shopping flows, not arbitrary restrictions on sellers.

When advanced technology and aligned commercial models come together, the results are visible: look-to-book is managed more effectively, and more digital shopping demand converts into orders. In Q1 2026, airlines on the Accelya platform saw NDC order sales grow faster than shopping demand, measured by the volume of flight search activity handled by the platform. Put simply, a higher proportion of searches turned into a sale. That is not a platform under strain. It is a platform helping airlines grow digital sales while actively managing look-to-book and the economics of scale on their behalf.

As the industry moves further into Modern Airline Retailing, and as AI-driven shopping becomes more common, digital demand will continue to grow — and the gap between platforms that can shape it intelligently and those that simply absorb it will widen. Some of that demand will be valuable. Some of it will be noise. The critical capability will be knowing the difference, and bringing the intelligence, scale, and depth of data to act on it.

That is what scaling smarter looks like: airlines with greater control over how their retailing grows, sellers with more reliable access to relevant content, and travellers with offers that better match real intent. The platforms that get this right will move the industry forward for everyone it serves.