Hotels still stitching payments across legacy tools are the most exposed as AI-driven fraud accelerates.

A receipt lands in an expense report. It looks right. The hotel name is correct, the tax lines add up, the total matches the trip. A reviewer glances at it, sees nothing off, and approves it. The problem is that the property on the receipt never issued it. It was generated in seconds by an image tool, and it moved through the system precisely because nothing about it looked wrong.

That is the shape of travel and expense fraud in 2026. It is not clumsy anymore. It is fast, it is convincing, and it is designed to pass the exact checks most of us still rely on.

The numbers are catching up to what a lot of us have felt on the ground. Global losses to fraud and scams rose more than 9% in 2025, and much of that jump traces back to bad actors using AI, according to Nasdaq Verafin. In business travel specifically, fake receipts are no longer a niche worry. SAP Concur reported detecting 18 times more suspected AI-generated receipts after it turned on an AI checker, with roughly 1% of receipts flagged as machine-made. And travel fraud attempts in busy destinations climbed nearly 30 percent during peak seasons in 2025.

Many of the conversations treat this as a detection problem, as if the answer is simply a smarter filter bolted onto the same workflow. I have spent more than three decades in electronic distribution and payments, and I do not see it that way.

The core weakness is not that the fraud got smarter. It is that the systems underneath a hotel payment are still fragmented. A booking comes in through one channel, a payment arrives from another source, and reconciliation happens somewhere else, often by hand, often days later. Every seam between those steps is a place where something false can slip in and not get caught until the money is gone.

Ask what the single biggest vulnerability in hotel and corporate payment tech is today, and I do not think the honest answer is any one scheme. It is the gap between systems. When a card number, a booking, and a settlement live in three disconnected places, no one has a complete picture, and an incomplete picture is exactly what modern fraud is built to exploit.

This is why I keep coming back to the same point in payments that I make about distribution: the problem you are trying to solve is usually a connectivity problem in disguise. Fraud hides in the space between tools. Close that space, and a whole category of it has nowhere left to hide.

The practical move is to stop treating payment as a step that happens after the booking and start treating it as part of the same connected flow. When a virtual card is generated inside the booking workflow and reconciled automatically against that specific reservation, there is no loose card number sitting around, no manual matching, and far less room for a fabricated transaction to pass as real. That is the logic behind embedding payment directly into distribution, which is the approach we have taken with DerbySoft Pay and payment partnerships across the ecosystem.

None of this is about buying one more layer of software. It is about removing the seams where fraud gets in. A hotel that runs payments through five loosely joined tools is not five times safer than one running through one connected flow. It is more exposed, because each handoff is a fresh opening.

The uncomfortable truth is that the fraud will keep improving. It always does. What a hotel actually controls is whether its own systems can see the whole transaction clearly enough to catch a lie inside it. That is not a detection upgrade. It is an infrastructure decision, and it is one worth making before the next convincing receipt lands in an inbox.

Smarter fraud is not the reason hotels are leaving money on the table. Systems that cannot see the whole transaction are. That is the part we can fix.

Luxury hotels are pulling away from the rest of the market. The hotels in the middle still have the most important lever left, and it is not their rate.

Picture two hotels on the same avenue in the same city. One is an ultraluxury property where the suites have been selling out for months, often at rates that looked unthinkable a few years ago. The other is a well-run upper midscale hotel a block away, with clean rooms, a loyal following, and a rate that has barely moved since last spring. Same street. Same weather. Two completely different years.

I have spent most of my career in hotel distribution, at Hilton, at Sabre, and now at DerbySoft, and I have watched a lot of cycles come and go. What we are living through now is not a cycle. It is a split, and it is changing how hotels in the middle of the market need to think about where their next booking actually comes from.

The Numbers Behind the Split

Economists call it a K-Shaped Economy: higher-income households keep spending while middle and lower-income households pull back. In lodging, that split is now plain in the data. Travel Weekly reports that RevPAR growth at the high end is far outpacing the rest of the market heading into 2026, and the trend shows no sign of slowing.

The segment numbers make it concrete. Through late 2025, luxury hotels grew RevPAR by 2.9%, while upper upscale managed 0.4%, upscale slipped 1.5%, upper midscale fell 1.9%, midscale dropped 2.6%, and economy declined 4.1%. Read that top to bottom and you can see the K. And it is starting to look less like a downturn and more like the new normal.

Why the Rate War is the Wrong Fight for Mid-Market Hotels

Luxury demand is strong enough right now that some properties are converting standard rooms into suites and pulling lower-priced inventory off the shelf, because the high-end product is what sells. A mid-market hotel does not have that option. Its guests are precisely the travelers who are watching their spending, comparing rates more carefully, and in some cases trading down to short-term rentals.

When demand softens, the reflex is to chase the booking with the lowest rate. I understand the pull of it. But cutting the price to win a price-sensitive guest trains the whole base to expect a discount, and it quietly lowers what the brand is worth. It also does not solve the real problem, because the issue in a K-shaped market is rarely that a hotel is priced too high. It is that the right guests are not finding the property in the first place.

Aspirational perks or cost efficiency? Choose with Data

There is a genuine strategic decision in front of mid-market operators. Some will lean into aspirational touches, the upgrades and small experiences that let a guest feel they are getting a taste of something more premium. Others will sharpen cost efficiency and protect profitability. In my view this is not an either-or. Both work when they are aimed at the right guest, and the only way to know who that guest is comes from understanding how the hotel distributes and sells its rooms.

That is the through-line. Distribution data tells an operator which channels bring the guests worth investing in, which rate plans hold their value, and where an aspirational perk earns its keep instead of eroding margin. Strategy without that visibility is guesswork. With it, the choice between premium experience and lean efficiency becomes a question a hotel can actually answer.

The K-shaped market is a real challenge, and I do not want to wave it away. But for hotels in the middle, it is also an invitation to get sharper about something they already control. The properties that come through this period strongest will not be the ones that cut the rates the deepest. They will be the ones that knew exactly who was booking, through which channel, and at what value, and built their strategy around that. No matter which arm of the K a hotel starts on, that is how it climbs.

Your rate is not your only lever. Your distribution is. See what DerbySoft can show you about the guests you are winning, the ones you are missing, and the channels worth investing in.

DerbySoft’s Digital Marketing team is delivering measurable results for hotel partners by putting AI to work where it matters most: inside Google Search campaigns. In a recent case study published by Google, DerbySoft’s integration of AI Max for Search across several prominent Japanese hotel chain accounts drove 68% incremental clicks, 51% incremental conversions, and 45% incremental conversion value between November 2025 and February 2026. The results reinforce DerbySoft’s position as a forward-thinking hospitality technology partner and demonstrate what’s possible when AI-driven optimization is applied with precision and expertise.

The Challenge

Several prominent Japanese hotel chains came to DerbySoft with a clear goal: drive high-value bookings and scale performance in an increasingly competitive market. For DerbySoft, the challenge was two-fold: identify new pockets of customer demand and maximize search campaign
efficiency to achieve sustained growth in conversions and revenue.

The Approach

To address these challenges, DerbySoft integrated AI Max into the Search campaigns for its Japanese accounts. By using AI- driven optimization, the agency aimed to capture incremental demand that
traditional manual keyword targeting might miss. The strategy focused on activating AI Max across various campaign types to optimize for both conversion volume and total conversion value.

The Results

The implementation of AI Max delivered significant incremental uplift across all key performance indicators between November 2025 and February 2026. The solution yielded 68% incremental clicks,
51% incremental conversions, and a 45% incremental conversion value. Overall, AI Max spend accounted for 34% of the total budget, proving to be a highly effective driver of new, profitable business for the agency’s hospitality partners.

Ready to see what AI-driven search optimization can do for your hotel partners? DerbySoft’s Digital Marketing Solutions team is helping hospitality brands find new demand, maximize campaign efficiency, and drive real revenue growth. Get in touch at derbysoft.com to learn more.

When millions of travelers converge on a small number of cities in a compressed time window, every assumption about demand forecasting, pricing, distribution, and traveler behavior is tested. Hotels, airlines, and travel sellers are forced to operate in a world where small mistakes in inventory or pricing can have outsized financial consequences.

The 2026 FIFA World Cup, the largest ever hosted across the United States, Canada, and Mexico, will be one of the most complex travel demand events the industry has faced.

But the biggest lesson for travel companies may not be about pricing strategy or occupancy levels. It may be about data infrastructure and distribution intelligence.

The industry is entering an era where demand volatility, fragmented distribution channels, and AI-driven travel planning are converging. Events like the World Cup expose the weaknesses of outdated systems.

A Complex Demand Puzzle, Not a Simple Surge

There is a persistent myth in the travel industry that mega-events automatically create month-long sellouts.

The reality is far more nuanced.

Data from STR CoStar forecasts show that while the World Cup will boost demand, the impact will vary significantly by city, timing, and traveler segment. In host markets across the United States and Canada, demand is expected to increase between 1% and 4% year over year during June and July 2026, depending on the city and the number of matches hosted.

At the same time, broader industry fundamentals remain relatively modest. STR forecasts show the United States hotel demand growing only 0.4% in 2026, with occupancy projected at approximately 62.1% and ADR increasing about 1.0% year over year.

In other words, the World Cup will create sharp spikes of demand inside an otherwise steady and uneven recovery.

For hotel operators and travel sellers, that means the real challenge is not simply capturing demand but managing the uneven patterns around it.

Previous global sporting events (as well as tours from top artists like Taylor Swift and Beyonce or other large events)  illustrate this clearly. Host markets typically see significant demand increases during match days while also experiencing displacement effects as some traditional travelers shift travel dates to avoid peak congestion. Secondary markets often experience different demand patterns and traveler mixes.

The lesson is clear. Mega-events create complex demand curves rather than simple compression.

The Real Revenue Opportunity Lies in the Shoulder Nights

One of the most important insights for hotels preparing for the World Cup is that the biggest revenue opportunities may not come on match nights themselves.

Revenue managers often assume that match days will produce uniform compression across entire markets. Historical data shows that traveler behavior during major sports events is more fluid.

Fans frequently arrive shortly before matches and depart soon after. Business travelers often shift their travel dates to avoid peak congestion. The result is a pattern of peaks and valleys across the event calendar rather than a steady surge.

The real opportunity lies in the shoulder nights surrounding matches.

During past global sporting events, hotels have often seen strong occupancy and ADR gains during the days before and after key matches as travelers extend trips, combine destinations, or plan flexible itineraries around tournament schedules.

For hotels, this means revenue success will depend less on aggressive match-night pricing and more on disciplined demand management across the full event window.

The winners in 2026 will not be the most aggressive operators. They will be the most disciplined.

Distribution Complexity Is Growing

Another important shift is the expanding complexity of travel distribution.

A decade ago, capturing World Cup demand was primarily about managing OTA exposure and corporate contracts. Today the environment is far more fragmented.

Travelers shop through OTAs, airline platforms, corporate booking tools, metasearch engines, social discovery platforms, and increasingly AI-powered travel assistants.

At the same time travel suppliers must manage availability across a growing web of intermediaries and retail partners.

When demand spikes this complexity creates risk. If inventory or pricing is inconsistent across channels hotels can lose revenue, create rate disparities, or simply disappear from the shopping path altogether.

Mega-events like the World Cup highlight why real-time connectivity and distribution intelligence are becoming mission critical infrastructure for the travel industry.

Multi-City Travel Will Reshape Demand

Another distinctive feature of the 2026 World Cup is geography.

Unlike previous tournaments concentrated in a single country, the North American event spans three countries and dozens of cities. This creates a different traveler pattern in which fans may follow teams across multiple destinations.

The result is a new category of travel demand called multi-city sports tourism.

Fans may attend matches in cities such as Los Angeles, Dallas, Vancouver, or Atlanta within the same trip window.

For hotels and travel sellers this creates opportunities to design regional itineraries, partner with sister properties, and create packages that connect multiple destinations.

Success again depends on data visibility across markets and channels.

The Bigger Lesson for the Travel Industry

The World Cup will undoubtedly generate headlines about record travel demand and rising hotel rates.

But the more important story will unfold behind the scenes.

Events like this expose whether travel companies have the infrastructure to operate in a world where demand patterns change rapidly, distribution channels multiply, and travelers expect seamless digital experiences.

The industry is moving toward a future where pricing decisions must respond to real-time signals, distribution must be synchronized across hundreds of partners, and traveler intent must be interpreted by increasingly intelligent systems.

In that environment, data connectivity becomes the foundation of travel commerce.

Mega-events simply make that reality impossible to ignore.

From Distribution to Travel Commerce Infrastructure

The travel industry is entering a new phase.

For decades technology focused primarily on distributing inventory by connecting hotels, airlines, and intermediaries through transactional systems.

But the complexity of modern travel requires something more.

Hotels and travel sellers need platforms capable of understanding demand signals, managing dynamic distribution, and optimizing how offers reach travelers across an expanding ecosystem of partners and channels.

This is where the industry is heading.

Companies that invest in intelligent distribution networks and real-time data infrastructure will be better positioned not only for events like the World Cup but for the everyday volatility of modern travel demand.

Demand spikes may last for weeks.

The infrastructure that supports them will determine who wins for years.

Artificial intelligence is no longer an emerging conversation in travel technology. It is an active line item in every executive budget discussion. Yet amid the rush to deploy AI features, chat interfaces, and automation tools, a quieter question is surfacing in boardrooms: Which AI investments will actually endure?

Across the hotel and travel ecosystem, the pressure to innovate is intensifying, on track to grow to $75.66 billion in 2030 at a compound annual growth rate (CAGR) of 29.9%. In fact, according to Deloitte’s 2025 Travel Industry Outlook, more than 70% of hotel executives are prioritizing AI investment. 

At the same time,  a recent survey reported that  56% of hospitality respondents say AI accuracy needs much improvement before it can be fully trusted, and only 28% of hospitality/travel respondents qualify as “AI leaders.”

These data points frame the central tension facing the travel industry: enormous potential, but fragile foundations.

For DerbySoft, the response has not been to chase the latest AI headline. Instead, the company is pursuing a disciplined approach designed to balance urgency with caution — embedding AI where it meaningfully improves travel commerce operations rather than layering it on as a marketing flourish.

The Cost of Moving Too Fast

Travel distribution is not a laboratory environment. It is a live, revenue-critical ecosystem where inaccurate rates, mismatched content, or misapplied automation can immediately impact conversion, margins, and brand trust.

A Skift Research report found that AI is expected to reshape travel planning and operations significantly, but executives remain cautious, citing integration complexity and uncertain ROI as primary concerns.

The caution is well-founded. Hotels and distributors already operate within highly interconnected systems;  CRS, PMS, channel managers, distribution networks, and content feeds. Introducing unvalidated AI tools into this environment can create fragmentation rather than efficiency.

DerbySoft’s strategy reflects this operational reality. Rather than releasing “dime-a-dozen” AI products to match competitive noise, the company is prioritizing:

• Customer validation before productization
• AI features that solve measurable business problems
• Integration into existing operating models
• Responsible adoption that reduces risk of rapid obsolescence

This philosophy aligns with DerbySoft’s broader messaging: move steadily, integrate thoughtfully, and position AI as part of a larger travel operating model.

The ROI Imperative

Executives today are not asking whether AI is transformative. They are asking whether it pays.

According to PwC’s Global AI Study, AI could contribute up to $15.7 trillion to the global economy by 2030, with significant value driven by productivity gains and product enhancements. Yet enterprise leaders increasingly require proof of ROI before scaling investments. An IBM Institute for Business Value report found that only 25% of AI initiatives deliver the expected ROI at scale.

This skepticism is particularly strong in hospitality, where margins are tight and technology budgets must justify measurable performance improvement. The market is not looking for more fragmented AI tools. It is looking for a trusted, integrated AI platform that supports the broader travel commerce ecosystem.

Executives are wary of deploying multiple isolated AI utilities that create operational silos. They want:

• Clear cost savings
• Improved efficiency
• Measurable conversion lift
• Reduced manual workload
• Platform-level integration

DerbySoft’s expansion plans,  including AI mapping enhancements and rate parity tools,  reflect this integrated philosophy. These capabilities are designed to improve efficiency and accuracy behind the scenes, strengthening distribution confidence rather than simply generating AI-themed headlines.

Competing on Substance, Not Storytelling

In an increasingly crowded AI landscape, many competitors are leading with bold narratives about transformation. Chatbots, copilots, predictive dashboards, and generative content engines dominate conference panels.

DerbySoft’s differentiation lies in restraint.

By validating customer demand before development and embedding AI within core workflows, we position ourselves as a trusted partner rather than an experimental vendor. The focus remains on solving structural problems in travel commerce; rate accuracy, content consistency, distribution confidence, and conversion optimization.

This measured approach may not generate the loudest announcements, but it addresses the long-term question that matters most:

Will this AI still be valuable five years from now?

The Emerging Standard for AI in Travel

Travel technology is entering the next phase in AI adoption.

The companies that succeed will likely share three characteristics:

1. They treat data quality as foundational.
2. They integrate AI into operating models rather than layering it on top.
3. They align innovation with measurable business outcomes.

DerbySoft’s current trajectory is positioning itself within this emerging standard.

At a time when AI initiatives are being defined by urgency, restraint may prove to be a competitive advantage.

AI will undoubtedly reshape travel commerce. The question is not whether to participate. It is how to participate responsibly.

For DerbySoft, the answer is clear: move carefully, validate rigorously, integrate deeply, and build AI that earns trust, not just attention.

Travel technology is in the middle of a gold rush. Nearly every platform, startup, and legacy provider in the hotel distribution ecosystem has declared itself “AI-powered.” Funding rounds are being secured solely on the strength of AI narratives. The energy is real, but so is the risk. Because in the rush to claim the future, too many companies are skipping the hard, unglamorous work that makes AI useful.

At DerbySoft, we have made a deliberate choice to take a different path. Not a slower one for the sake of caution, but a more grounded one, built on a simple conviction: AI that is not anchored to accurate, structured data will eventually fail the people who depend on it.

I want to share where we are on that journey, what we are building, and why we believe our thoughtful vision will matter more than speed in the long run.

The Boring

The least exciting part of AI is also the most important: data quality.

Hotel distribution has a persistent problem that predates the current wave of AI enthusiasm. Property data across systems, languages, and channels is wildly inconsistent. Room types are labeled differently across platforms. Amenities are described in dozens of ways. Policies vary in format and granularity. For travelers, this creates confusion. For hotels and distribution partners, it erodes trust and conversion.

Our AI-powered Content Solutions platform is built around three capabilities that address this directly. AI Fill-In automates data entry and content updates within the management system, keeping property information current with minimal manual effort. AI Extract transforms long, unstructured property descriptions into rich, structured data, converting free-text paragraphs into clear, searchable attributes like precise room sizes, accurate bed types, and detailed amenity lists. And AI Review scores content for completeness and relevance, giving hotels and distribution partners clear, actionable insight into gaps so they can improve quality before it reaches the traveler.

Together, these tools connect hotels and distributors through a single, trusted content platform. Hotels maintain central control over their content. Distributors access accurate, enriched information at scale. The result is consistency and confidence across every channel.

None of this makes for a dramatic press release, but it is the layer everything else depends on. Deloitte’s research on generative AI in the enterprise reinforces this point: data quality remains one of the most significant barriers to scaling AI effectively. We took that finding seriously and built accordingly.

Protecting Revenue Integrity

Rate parity is another area where we are embedding intelligence directly into infrastructure. Rate discrepancies across channels remain a persistent concern for hotels and their distribution partners. When pricing breaks down, trust breaks down with it, and margins suffer.

We are developing AI-enhanced rate monitoring and parity validation tools designed to detect anomalies faster, reduce the burden of manual auditing, and protect pricing integrity. This is not a standalone AI product. It is intelligence woven into the distribution workflow itself. The objective is not to showcase technology. It is to eliminate inefficiencies that directly affect revenue performance.

Automation Grounded in Partnership

We are also applying AI to automate content workflows and product updates, and our recent collaboration with Agoda is one example of this in practice. While we are not yet ready to share detailed performance data, internal work confirms that AI has meaningfully reduced manual intervention in product update processes.

This reflects a principle we hold closely: demonstrate results first, amplify later. As more performance data matures, the opportunity for deeper case-based storytelling will follow. But we are not going to get ahead of what the evidence supports.

Beyond Price: The Shift Toward Experiences

Perhaps the most significant evolution in our AI thinking is the move toward behavior-driven personalization.

For years, travel shopping has been dominated by price-first sorting. The lowest rate wins the click. But traveler expectations are shifting. Booking confidence increasingly depends on richer context: loyalty program benefits, breakfast inclusion, flexible cancellation, local experiences, and room attributes that go beyond square footage.

Our content platform already supports the inclusion of these richer attributes. AI layers can then help match them to individual shopper behavior, surfacing the information that actually drives decisions rather than defaulting to price alone.

McKinsey research suggests that personalization can drive revenue uplift of 5% to 15% and improve marketing spend efficiency by 10% to 30%. In travel, that uplift depends heavily on structured content and intelligent filtering, which is precisely the foundation we have been building.

This is also why I participated on an industry panel in Milan focused on rate choice and richer content in the booking experience. The message was straightforward: booking confidence improves when travelers see complete, robust, trustworthy information, not just the lowest price.

AI Voice and Conversational Commerce

Some of the most labor-intensive friction in travel happens after the booking is made. Confirming that a property has the correct reservation and payment details before a traveler arrives at check-in. Retrieving folios when APIs are unavailable or when invoices need correcting. Handling urgent booking modifications when automation fails or when a traveler’s plans change at the last minute. These are high-volume, time-sensitive tasks that have traditionally required human agents making manual calls, often at significant cost.

Our AI Voice Agent is designed to handle exactly this kind of operational work. It verifies booking and virtual credit card details directly with properties. It collects invoices. It processes modifications. And it adapts to each partner’s specific workflows, scaling to support millions of bookings per year without requiring proportional increases in headcount.

Companies using the solution in pilot programs are seeing 70% to 90% reductions in costs associated with manual calls. In pilots with leading travel management companies, over 75% of bookings were completed through the AI Voice Agent, eliminating the need for manual intervention entirely. Those are not projections. They are operational outcomes.

The downstream effects matter just as much. When booking verification and invoice collection happen reliably and at scale, the entire traveler experience improves, from check-in through checkout and reconciliation. Payment success rates increase. Collection processes tighten. And the people who were previously spending their days on routine calls can redirect their time toward work that requires human judgment.

A Platform, Not a Patchwork

One theme that comes up repeatedly in our internal strategy discussions is coherence. The market does not want a proliferation of disconnected AI tools. It wants a unified system where content intelligence, rate integrity, normalization, behavioral personalization, and conversational interfaces all operate within the same ecosystem.

That is what we are building. And it matters because one of the most cited risks in enterprise AI adoption is fragmentation. McKinsey/Skift research highlights integration complexity and data silos as primary obstacles to scaling AI reliably. By building each new capability on top of an existing structured data layer, we reduce the risk of deploying tools that lack dependable backend support.

Earning Trust in an Era of Overpromise

The current AI landscape rewards bold claims. Companies that aggressively pitch transformation stories attract attention and funding. But IBM’s Institute for Business Value reports that only 25% of AI initiatives achieve expected ROI at scale. That gap between promise and performance is where trust gets lost.

We have seen this pattern before in technology cycles. The companies that endure are rarely the loudest. They are the ones that build carefully, validate rigorously, and scale only when the foundation can support it.

Our trajectory is designed around that belief. We want to build trust with our clients by delivering measurable results. We want to avoid costly rework caused by rushed deployments. We want to make sure our data foundations are strong before we scale automation further. And we want AI to integrate into the broader travel operating model, not sit alongside it as a disconnected novelty.

Many AI failures stem not from algorithm limitations but from weak data governance and fragmented system integration. 

The Long Game

AI innovation in travel will not be won by speed alone. It will be won by durability.

Our roadmap reflects a philosophy that I believe our industry increasingly values: innovate but validate. Automate, but integrate. Personalize, but ground it in accurate data. And of course, the end result is ROI.

We are not trying to be the loudest AI voice in travel. We are working to be one of the most structurally prepared, because when the dust settles, that is what will matter most.

Download our latest white paper for the full breakdown of why siloed systems are falling behind and how connected ecosystems are redefining cost control, duty of care, traveler experience, and strategic decision-making across corporate travel.

• From Fragmentation to Integration: Learn why the traditional patchwork of booking tools, expense platforms, and risk systems is breaking down, and how APIs, cloud platforms, and real-time data exchange are replacing disconnected transactions with a unified, living travel ecosystem.
• Real-Time Visibility as the New Standard: Discover how connected systems give travel managers continuous oversight, from traveler location monitoring and disruption alerts to live spend tracking and dynamic supplier performance analysis, all in real time.
• Elevating the Traveler Experience: See how integrated infrastructure delivers the seamless, consumer-grade experience business travelers now expect: mobile-first booking, automated approvals, contactless check-ins, proactive rebooking, and frictionless expense reconciliation.
• Turning Travel Data into a Strategic Asset: Understand how connected data flows transform travel from an administrative function into a source of business intelligence, unlocking cost optimization, intelligent policy compliance, supplier benchmarking, and alignment with broader business objectives.
• AI and Automation Powered by Connectivity: Explore why AI-driven travel management, from predictive disruption alerts to automated approvals and intelligent routing, depends entirely on the connected data foundation your ecosystem provides.

The future of business travel runs on connectivity.

This white paper gives you the clarity to understand what’s changing, where the opportunities are, and how an integrated ecosystem improves your traveler experience, your operations, and your bottom line. The question is no longer whether to connect, it’s how fast you can move.

Download The White Paper

Download the white paper to get the full insights and set your business up for the future.

2025 was a year defined by uncertainty. Questions around artificial intelligence, tariffs, global economics, distribution control, and traveler behavior moved from abstract debate into daily operational reality. Across travel and hospitality, leaders were forced to make decisions without the comfort of stable assumptions or predictable demand patterns.

The most widely read DerbySoft stories from the past year reflect that environment. They surfaced concerns about how AI is actually applied, how external forces influence demand, how payments affect scale, and how distribution strategies must adapt to fragmentation. At the same time, they reveal a forward-looking mindset across the industry. Readers gravitated toward perspectives that focused on execution, system design, and practical ways to operate more effectively in complex conditions.

Taken together, these stories show an industry that is not standing still. Travel leaders are actively redefining how they use technology, structure commerce, and respond to change. They are prioritizing clarity, accountability, and resilience over speculation.

Here are the five most-read DerbySoft stories of 2025 and what they signal for the travel industry in 2026..

1. AI Is Now Table Stakes: What Comes Next for Travel and Hospitality

By 2025, artificial intelligence had moved beyond proof-of-concept initiatives and into production environments that run continuously. What made this story resonate was its insistence that AI value must be measured by operational outcomes, not ambition.

Agentic AI systems now validate bookings, confirm payment credentials, reconcile commissions, and resolve exceptions without human intervention. These systems operate across time zones and volumes that manual teams cannot scale. The significance lies in the shift from experimentation to responsibility. AI decisions now affect revenue accuracy, settlement speed, and partner trust.

The industry response reflected a growing recognition that AI is infrastructure. Once embedded, it requires governance, ownership, and performance measurement aligned to business outcomes such as reduced manual intervention, fewer disputes, and faster financial close cycles.

Read the full article here →

2. Traveler Sentiment Toward the USA: Regional Impacts of Tariffs and What Lies Ahead

Travel demand in 2025 proved increasingly sensitive to forces outside traditional pricing models. This story drew attention because it examined how trade policy and economic signals influence traveler confidence and booking behavior at a regional level.

Industry research consistently shows that shifts in traveler sentiment often precede measurable changes in demand [UNWTO tourism sentiment research]. Tariffs and geopolitical signals influence perception, which in turn shapes destination consideration well before rate or availability adjustments appear in booking data.

The insight that resonated most was practical. Revenue and distribution planning now requires awareness of external forces earlier in the cycle. Demand forecasting based solely on historical performance is no longer sufficient when perception itself becomes a demand variable.

Read the full article here →

3. Virtual Card Market on Track to Triple by 2030: Here’s What It Means for Global Travel Commerce

Payments emerged as a strategic concern in 2025 because they directly affect scalability. This story gained traction by focusing on what payment modernization enables across global distribution.

Industry projections indicate the virtual card market is expected to expand by roughly three times by 2030, driven by adoption across travel, procurement, and B2B commerce [industry payment analysts cited broadly in travel payments research]. For travel organizations, this growth matters because virtual cards accelerate settlement, improve reconciliation accuracy, and reduce fraud exposure.

The broader implication is structural. Faster settlement improves cash flow. Automated reconciliation reduces operational cost. Secure payment flows strengthen partner trust. Payments are no longer a background function. They are a core component of modern travel commerce.

Read the full article here →

4. Capturing Experiential Travel

Experiential travel gained prominence in 2025 not as a branding exercise, but as a shift in how travelers define value. This story resonated because it addressed experiences as commercial inventory rather than marketing narrative.

Industry spending data shows continued growth in experience-driven travel categories such as activities, wellness, and local engagement [global tourism spend reports]. Travelers increasingly evaluate trips based on outcomes and relevance, not just accommodation quality or price.

The implication for distribution is substantial. Experiences must be discoverable, bookable, and supported by payment and fulfillment systems that meet traveler expectations. Distribution platforms that treat experiences as peripheral risk missing a growing share of traveler spend.

Read the full article here →

5. Why the Next Phase of Hotel Distribution Will Depend on Multi-Sourcing Strategy

Distribution complexity remained one of the most persistent operational challenges in 2025. This story resonated because it addressed how organizations are adapting through diversified sourcing supported by stronger controls.

Industry data continues to show that no single channel consistently delivers reach across all traveler segments. Multi-sourcing expands visibility while protecting rate integrity and content accuracy when managed correctly [travel distribution performance analyses]. The focus is not channel replacement, but orchestration.

The significance lies in acknowledging operational reality. Modern distribution requires connectivity across multiple demand sources, governed by technology that maintains transparency, compliance, and commercial balance.

Read the full article here →

Looking to 2026

The most-read DerbySoft stories of 2025 shared a clear signal. They captured how travel commerce operates when growth, complexity, and external pressure converge.

That context becomes more relevant heading into 2026. Industry forecasts point to continued increases in global travel volume, rising transaction density, and broader adoption of AI across pricing, distribution, payments, and content operations. Virtual card usage and automated settlement models are also expanding as travel commerce becomes more digitized and interconnected. These trends are increasing expectations around accuracy, speed, and accountability across the entire value chain.

As volumes rise, the margin for error narrows. Inventory accuracy, booking resolution, payment reconciliation, and content consistency move from operational details to business-critical requirements. Distribution continues to diversify as travelers engage through more channels and touchpoints, placing additional pressure on systems to perform reliably at scale.

This is where the DerbySoft travel commerce ecosystem comes into focus. By supporting connectivity between hotels, distributors, and partners, while enabling payments, data intelligence, and marketing activation on top of that foundation, DerbySoft helps the industry manage growth without introducing unnecessary complexity. The ecosystem is designed to support how travel commerce actually functions, from sourcing and distribution to settlement and performance insight.

The engagement these stories received reflects a broader shift across the industry. Travel leaders are spending less time debating change and more time evaluating how well their systems support daily execution. In 2026, attention will continue to move toward reliability, transparency, and the ability to adapt as conditions evolve.

That is where the real momentum of the next year begins.