Distribution Archives

Orchestra and Sabre Strengthen Airline Distribution Partnership

October 10, 2026 by Amara Nambinga

Orchestra et Sabre ont renforcé leur partenariat sur la distribution aérienne - Depositphotos.com @peshkova

Aer Lingus

Orchestra, the B2B technology platform of the Travelsoft group, and Sabre Corporation strengthened their partnership on the occasion of IFTM 2026.

This development aimed to broaden Orchestra’s air distribution capabilities and to bring more flexibility to travel professionals in managing their content and bookings.

Through the integration of Sabre within Orchestra and the Travelsoft Transport Hub, professionals could access different types of air content via a unified API.

The solution aggregated offers from traditional carriers via EDIFACT, those from low-cost carriers (LCC), and content using the NDC standard.

Distribution parameters could also be adapted to the business models and commercial strategies of each actor.

Automated After-Sales Management

One of the main benefits announced concerned after-sales management. The solution notably enabled automating certain operations related to modifications, cancellations, and exchanges of air bookings.

This automation was intended to allow agency and tour-operator teams to reduce the time spent processing cases and to gain operational efficiency.

Sabre also highlighted its Multi-tickets feature, designed to facilitate the construction of itineraries that combine multiple tickets.

The contents and features stemming from this collaboration were notably accessible within Orchestra and Travel Compositor, strengthening their integration into the Travelsoft ecosystem.

Published by Amelia Brille TourMaG.com Editor
See all articles by Amelia Brille

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Towards a New Wave of Distribution Consolidation?

September 29, 2026 by Amara Nambinga

Le pilote de la consolidation a changé : ce n'est plus la logique d'échelle entre transporteurs ou agences, c'est la logique du capital tech qui rachète de la distribution pour la transformer en plateforme - DepositPhotos.com, BiancoBlue

CroisiEurope

Travel distribution has already known two major waves of concentration.

The first, in the 2000s, was the era of OTAs: Expedia and Booking absorbed dozens of brands to build the duopoly that now dominates online hotel distribution.

The second, more recent, was the one among TMCs: the Amex GBT-CWT merger, completed in autumn 2025 for $540 million, crowning the planet’s largest player in business travel, while Direct Travel absorbed ATPI on the Spotnana infrastructure and FCM and BCD continued their expansion.

The third wave, that of 2026, is of a different nature. The most spectacular trigger is the acquisition of Amex GBT by Long Lake: a fund intending to buy the world’s leading business travel company for $6.3 billion in cash, at $9.50 per share, returning the company to private hands once the deal closes in the second half of 2026.

The price represents a premium of 60.2% over the last closing price before the announcement.

The key point is not the amount. It is the identity of the buyer.

With the AI capabilities brought by Long Lake, the CEO Paul Abbott believes Amex GBT is well positioned to drive the transformation of business travel. In other words, the world’s largest corporate distributor is rearming not to grow, but to industrialize around artificial intelligence, funded by tech investors — General Catalyst and Alpha Wave are among the backers of the deal.

The driver of consolidation has changed: it is no longer the logic of scale among carriers or agencies, it is the logic of tech capital that buys distribution to transform it into a platform.

Also read: Business travel: three forces are reshaping the industry and imposing a new model

When Valuation Hinges on Tech, Not on Volume

The signal is even clearer on the entrants’ side.

Navan’s IPO in October 2025, valued at $6.2 billion with revenue growth of 33% and gross margins rising from 62% to 72%, validates the technology-first model.

For reference, at Navan’s IPO, Amex GBT — though larger in volume — carried a market capitalization of about $4.1 billion. The market now values the ability to automate, not the size of the order book.

This automation is very tangible. Navan’s AI assistant, Ava, handles about half of user interactions without human intervention, directly fueling margin expansion, and the company claims over 90% policy compliance for travel, versus 30-50% for historic TMCs.

It is this cost and compliance differential that explains why capital rushes to distribution: there is an efficiency rent to capture, and it is captured through technological consolidation.

The consequence is a market that splits rather than evenly concentrates. The TMC market is no longer a single tier: it has split into two distinct segments, with different technology architectures, different client profiles, and different distribution behaviors.

On one side, the enterprise tier GDS-first, driven by service; on the other, IA-native platforms.

Thus, consolidation does not produce a single giant, but two competing models that each attract smaller players.

The OTA Duopoly Tightens — and the Bill Comes Due

On the leisure side, concentration is far from finished: it is hardening.

The OTA landscape continues to consolidate around two dominant players, Booking Holdings and Expedia Group, together controlling an estimated 85 to 90% of global OTA hotel bookings.

And this concentration comes at a very direct price for hoteliers: with less competition, the two groups have progressively raised their commissions, Booking.com averaging around 17.5% in 2026 versus 15.8% in 2022, and Expedia at about 19.2% versus 17.5% over the same period.

This is exactly the mechanism we described in our first article on the function of distribution: unmanaged distribution becomes distribution that controls you.

When two players lock 85-90% of a channel, the distributor no longer negotiates; it becomes a captive.

Agentic AI: One More Layer, Not One Less

This is where the real 2026 surprise plays out. The prevailing narrative promised that AI agents would short-circuit intermediaries — the traveler asks, the agent books directly, the OTA disappears.

The observed reality is the opposite. Google’s agent booking partners include Booking.com and Expedia, which suggests that agentic AI adds a new layer of distribution on top of OTAs rather than bypassing them, shifting the question of who holds the traveler relationship.

A strategy of disintermediation does not begin with the parties it intends to disintermediate as founding partners.

Volumes confirm the road remains steep. At the start of 2026, AI travel agents handle an estimated 3 to 5% of hotel bookings on major markets, versus nearly zero in 2024, with a projection of 10 to 15% by 2028.

And the barrier is not technology; it is trust: a Skift study suggests that about 2% of travelers would only authorize an AI agent to complete a purchase on their behalf, while an Expedia Group survey places this figure at 8% — a small minority in both cases.

For the distribution function, the message is clear: AI does not remove an intermediary, it creates a new one, located even closer to the traveler.

The strategic question is not “how to avoid disintermediation” but “how to exist within this new layer of orchestration.”

A new type of native AI aggregator is also starting to emerge alongside the OTAs, designed to give hotels access to AI-driven discovery platforms.

The Levers to Activate

Impact

The consolidation of distribution is not another cycle: it is a shift in leadership.

Tech capital and AI buy, finance, and restructure distributors, while an agency layer sits atop the chain without removing a single link.

For players in travel, the threat is less about being acquired and more about ceasing to exist in the new layers where the traveler relationship is now captured.

Distribution does not concentrate: it reconfigures. Everyone must decide whether they will be a platform, a partner, or a component in someone else’s pipeline.

Sources

1. Amex GBT / Long Lake : buyout at $6.3B, take-private, backing by General Catalyst and Alpha Wave. (TravelPulse, PhocusWire)

2. Financial details of the Long Lake deal: 60.2% premium, $9.50 per share. (StockTitan / 8-K GBTG)

3. Navan: IPO at $6.2B, margins, Ava assistant, compliance. (White Sky Hospitality, BTN Europe)

4. Split of the TMC market into two camps and consolidation in 2025 (Amex GBT–CWT, Direct Travel–ATPI). (Hospitality.today)

5. OTA duopoly and rising commissions in 2026: 85-90% share, Booking and Expedia commissions. (Booking Whizz)

6. Agentic = an additional layer, not disintermediation: Google-listed partners. (Hospitality Net)

7. Adoption and trust in AI purchasing: 3-5% of hotel bookings, 2-8% willing to pay via AI, AI-native aggregators. (AltexSoft)

Who is Alexandre Veau?

Alexandre Veau - Photo : Impact Consultants

Alexandre Veau has more than 20 years of professional experience in the travel and tourism industry.

He notably led geographic expansion and partnerships at Egencia.

He has thus gained strong expertise in managing pre- and post-acquisition projects, as well as extensive knowledge of business travel.

Alexandre also possesses strong expertise in change management of commercial functions by leading projects to launch new activities and optimize business processes and by implementing transformation plans.

Building on this experience, Alexandre now brings this know-how to travel and leisure companies through analytical capability and an approach tailored to organizational challenges, as a partner at Impact Consultants.

Travel Tech: How DIGITRIPS Simplifies Travel Distribution

September 22, 2026 by Amara Nambinga

Climats du Monde

With its new series “Travel Tech Inside,” DIGITRIPS Tech, the tech backbone of the DIGITRIPS group, aims to make the technologies that enable searching, connecting, distributing and selling travel more accessible. The objective: explain simply what lies behind a booking, without multiplying acronyms — and to reaffirm a belief: technological complexity should stay in the background so that the experience itself remains simple.

This pedagogy does not stop at this article: DIGITRIPS Tech is applying the same explanatory effort on the blog digitrips.com, where every topic addressed here is revisited and explored in depth through dedicated content.

Behind a hotel booking, an ecosystem that has become complex

Dozens of players and data to connect

What kind of players lie behind a search that takes only a few seconds on a booking site? Hotels, chains, bed banks (also called bed banks, those wholesalers who pool hotel stock), tour operators, online agencies, TMCs, booking platforms and other distributors must move large volumes of data: availability, rates, cancellation terms, descriptions, visual content, or payment rules.

Historically, these exchanges relied on well-known professional tools: the GDS (Global Distribution System), which centralizes the offering for agencies; the channel manager, which synchronizes a hotel’s rates and availabilities across all its sales channels; or the PMS, the management software used at the hotel reception. Travel tech today complements or modernizes these traditional building blocks rather than replacing them.

With this diversity of players, there is also a multiplication of content sources. A distributor can now combine direct hotel contracts, several third-party providers (notably bed banks) and its own commercial agreements. Each connection has its own technical and contractual rules, and must be integrated, maintained and steered over time.

See the guide to hotel distribution by DIGITRIPS.

Accessing the offer is no longer enough

The challenge is therefore no longer merely to access the offer: it must be made truly usable. How to aggregate contents, harmonize data, limit duplicates, compare rates, and apply the right distribution rules? That is the real work, often invisible.

What is at stake for hoteliers? It is different, but equally strategic: being able to distribute more broadly their negotiated contracts, without multiplying technical connections or losing control over their commercial terms.

These operations never appear on the end-user side. Yet they play a direct role in the speed of a search, the relevance of results, price competitiveness, and the reliability of the booking. Travel tech is therefore not merely a technical layer: it has become the indispensable infrastructure for modern travel distribution.

DIGITRIPS Tech, the connector for hotel and travel distribution

DIGITRIPS Tech links the different links in the travel distribution chain, with a simple role: to facilitate the flow of inventory between suppliers, producers, and distributors through connectors, tools developed by the Group’s teams.

What is a connector in travel distribution? A connector is a technological solution that enables the systems of suppliers and distributors to communicate with one another — a kind of next-generation GDS, but designed to talk also with channel managers, the PMS, and direct contracts. The connector ties availabilities, rates and bookings together, while harmonizing data, to make a complex offer directly exploitable by travel professionals.

The group relies on a dual culture to build its connectors: historically a travel trader, DIGITRIPS, through DIGITRIPS Tech (formerly Koedia) also develops its own distribution technologies. This hybrid model allows approaching travel tech from concrete problems: how to faster integrate new content sources? How to enrich a hotel inventory? How to better manage distributed content while preserving margin?

Connecting travel content sources

A crucial step is to simplify access to the different travel content sources (air, land). A centralized integration enables distributors to connect to multiple providers without multiplying technical developments, often time- and resource-intensive. This approach also facilitates linking hoteliers who want to distribute their rates with professionals seeking new content.

Orchestrating distribution rules

Connecting sources is not enough: you must decide which content to display, under what rules, and for which markets. Orchestration allows you to govern the selection of providers, display priorities, commercial rules or distribution conditions. The technology becomes a control tool, not merely a means to access more offers.

Valuing available content

Connectivity must finally serve a business objective. An enriched, better-structured inventory that is easier to steer helps distributors strengthen the relevance of their offer: valorize negotiated contracts, broaden sales channels, adapt the distribution model to each company’s objectives. The goal is not to add another layer of technology, but to reduce the visible complexity for users.

In plain terms: the words of hotel distribution

Some simple landmarks to help you navigate beyond jargon — and which are developed in more detail on the blog digitrips.com:

• GDS: the historical system that centralizes hotel and air offerings for travel agencies.

• Channel manager: the tool that real-time synchronizes an hotel’s rates and availabilities across all its sales channels.

• PMS: the software used at reception to manage rooms, arrivals and departures.

• Bed bank (bed bank): a wholesaler that buys hotel stock in volume to resell to distributors.

• Direct contract: a commercial agreement negotiated directly between a distributor and a hotel, with no intermediary.

• Connector: the technology that links all these systems together and harmonizes their data and travel content.

Hotel distribution: combining third-party providers and direct contracts

Combining bed banks and direct contracts

For travel distributors, centralizing multiple sources allows expanding the available offering without managing each connection separately. A hotel aggregation platform can bring together bed banks and direct contracts within the same environment.

These two models complement each other more than they oppose. Bed banks provide broad, quickly accessible coverage. Direct contracts offer greater control over rates, commercial terms, and the relationship with hotel partners. A hybrid approach enables combining their advantages according to markets, destinations, and the objectives of each company.

Read the article: bed bank or direct contract, which hotel distribution strategy should you choose?

TravelPlugz: aggregating and steering all your suppliers

TravelPlugz centralizes content derived from the client’s contracts with its third-party suppliers (DMCs, Wholesalers, Bedbanks, etc.) and thus provides access to a broad and constantly updated inventory:

• Aggregate all housing contracts of distributors

• Optimize prices and the relevance of the offering

• Enrich distribution platforms.

A tool designed to master and structure a multitude of feeds.

Hotel Direct Access: exploiting direct contracts in real time

Hotel Direct Access focuses on direct contracts negotiated by the distributor with hotel chains or independents: secure access to negotiated rates, real-time availabilities, centralized stock management… A major competitive advantage for players with exclusive and differentiating contracts.

Complementary, these two solutions offer an aggregation power and full control of direct contracts, for richer content, greater relevance, and above all a complete price comparison across providers.

Turning complexity into an advantage

A sales team at your service

The members of the DIGITRIPS Tech team are at your disposal to accompany you. You can contact them at the following email address: [email protected].

To learn more about the DIGITRIPS group and its solutions, visit our site www.digitrips.com

How Trainline Uses AI to Enhance Travel, Distribution, and Productivity

June 13, 2026 by Amara Nambinga

Réda Kechouri, directeur Machine Learning et Intelligence Artificielle de Trainline - Photo : AB

L’intelligence artificielle n’est plus un simple sujet d’expérimentation chez Trainline.

Pour la plateforme de réservation ferroviaire et autocar, elle est devenue un levier destiné à améliorer l’expérience client, optimiser les opérations internes et renforcer sa visibilité dans les nouveaux écosystèmes de recherche conversationnelle.

Lors d’un échange avec la presse, Réda Kechouri, directeur Machine Learning et Intelligence Artificielle de Trainline, a détaillé la manière dont l’entreprise déploie concrètement ces technologies auprès de ses 26 millions d’utilisateurs actifs répartis dans 40 pays.

“We wanted to show very concrete things that help travelers on a daily basis rather than talk about theoretical visions“, explains him.

The AI strategy of Trainline rests on three pillars: user experience, distribution and internal acceleration. The first aims to improve the traveler’s journey, from ticket search to trip tracking.

The second concerns Trainline’s presence in the new conversational environments such as ChatGPT, Gemini or Claude. Finally, the third axis focuses on the productivity gains enabled by generative AI tools and agentic systems.

This approach relies on a substantial volume of data. Trainline reports handling nearly 350 travel searches every second and managing several millions of journeys each month.

Anticipating disruptions before they occur

Parmi les applications déjà déployées figure “Travel Forecast”, un système actuellement disponible au Royaume-Uni.

Grâce à des modèles prédictifs, Trainline est capable d’anticiper jusqu’à deux heures à l’avance l’état du réseau ferroviaire britannique et d’identifier les perturbations susceptibles de se propager sur plusieurs lignes.

Les voyageurs reçoivent alors des notifications personnalisées leur permettant d’adapter leur itinéraire avant que les conséquences des incidents ne se fassent pleinement sentir.

Pour concevoir ce service, Trainline combine des modèles de machine learning traditionnels avec des modèles de langage (LLM) chargés de reformuler les informations de manière claire et pertinente pour chaque utilisateur.

Lancé en décembre dernier, le dispositif a déjà permis de notifier près de trois millions de voyageurs.

Autre chantier majeur : l’automatisation des compensations liées aux retards. Au Royaume-Uni, où les opérateurs ferroviaires sont tenus de rembourser les passagers dans certaines situations, Trainline a développé une fonctionnalité baptisée “Delay Repay”.

L’objectif affiché est de rendre les remboursements aussi automatiques que possible. Si certaines contraintes réglementaires et techniques limitent encore cette automatisation complète, Trainline indique poursuivre ses discussions avec les opérateurs ferroviaires afin de fluidifier davantage le processus.

An AI assistant capable of acting

La principale innovation de l’entreprise reste toutefois son assistant conversationnel, déployé depuis plus d’un an au Royaume-Uni. Contrairement aux chatbots traditional, Trainline a développé un système multi-agent capable non seulement de répondre aux questions des voyageurs, mais aussi d’exécuter certaines actions.

L’assistant peut ainsi renseigner les passagers sur les conditions tarifaires, les perturbations en temps réel ou les équipements disponibles dans les gares. Dans certains cas, il peut également traiter automatiquement des demandes de remboursement.

“Nous ne voulions pas créer un chatbot classique. Nous voulions construire un système capable de faire des actions, pas seulement de répondre à des questions“, explique le directeur IA de Trainline.

Depuis son lancement, l’outil a traité plus d’un demi-million de conversations. Selon l’entreprise, 32 % des demandes de remboursement sont désormais gérées automatiquement et seulement 8 % des conversations nécessitent un transfert vers un conseiller humain.

Trainline observe également l’émergence de nouveaux usages. Les voyageurs sollicitent désormais l’assistant pour obtenir des informations pratiques qu’ils n’auraient jamais demandées auparavant, comme la présence de toilettes dans une gare ou leur emplacement.

Preparing for the era of conversational search

Au-delà de l’assistance client, Trainline travaille activement à son intégration dans les nouveaux moteurs de recherche alimentés par l’intelligence artificielle. La plateforme dispose déjà d‘une intégration au sein de ChatGPT permettant aux utilisateurs de rechercher des trajets avant d’être redirigés vers Trainline pour finaliser leur réservation.

Pour l’entreprise, l’enjeu est d’apparaître dans les réponses générées par les assistants conversationnels tout comme elle le fait depuis des années dans les moteurs de recherche traditionnels.

Même si les recherches issues de l’IA ne représentent encore qu’entre 1 et 2 % du trafic de Trainline, leur progression est rapide.

L’entreprise indique avoir multiplié par treize en un an les ventes générées via ces nouveaux canaux. Le phénomène est particulièrement marqué chez les voyageurs internationaux, notamment les touristes américains préparant des itinéraires ferroviaires en Europe.

Enfin, l’entreprise mise sur les interfaces vocales pour renforcer l’accessibilité de ses services. En partenariat avec la société britannique ElevenLabs, spécialisée dans les technologies vocales, Trainline prépare le lancement au Royaume-Uni de nouvelles fonctionnalités basées sur la voix destinées au service client. Une première étape avant un déploiement plus large sur l’ensemble de ses marchés européens.

A balance between innovation and restraint

Face aux interrogations sur l’empreinte environnementale des modèles d’intelligence artificielle, Trainline assure surveiller de près l’impact carbone de ses usages.

L’entreprise considère toutefois que les bénéfices potentiels de l’IA pour faciliter l’accès au train et encourager le report modal compensent largement les ressources nécessaires à leur fonctionnement.

“Notre mission est de faire en sorte que davantage de personnes prennent le train. Nous pensons que l’intelligence artificielle peut accélérer ce mouvement” conclut Réda Kechouri.