Global Business Travel Association Research Reveals Corporate Hotel Procurement Is Entering a New Era Driven by AI Adoption, Rising Costs and Hybrid Pricing Models

Written By: Binoy Mehera

Binoy Mehera

A curious mind driven by a passion for storytelling, I find inspiration in uncovering hidden perspectives, exploring diverse experiences, and shaping ideas into narratives that leave an impact. With three years of experience in journalism and content creation, I have developed a strong instinct for identifying meaningful stories, blending research with creativity, and presenting information in a way that connects with readers. My storytelling journey is guided by a fascination for culture, travel, lifestyle, and the human experiences that define our world. I aim to create narratives that not only inform but also spark curiosity, evoke emotions, and offer audiences a deeper understanding of every story.

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June 27, 2026 12:58 PM

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Global Business Travel Association research reveals that corporate hotel procurement is entering a new era driven by rising accommodation costs, accelerating adoption of artificial intelligence (AI), and a growing shift toward hybrid pricing models. Organisations are moving away from traditional fixed-rate contracting in favour of more flexible, data-driven sourcing strategies that balance cost efficiency with traveller experience, duty of care, and programme performance. At the same time, AI-enabled tools are increasingly being used to streamline decision-making, improve analysis, and enhance supplier evaluation, helping travel managers respond more effectively to a volatile and rapidly evolving global business travel market.

The findings are based on a 2026 survey of corporate travel managers and reflect a market that is becoming more complex, data-driven and regionally differentiated. While cost management remains essential, it is now only one part of a broader set of priorities shaping hotel sourcing strategies.

Hotel Procurement Expands Beyond Cost Control

Cost efficiency continues to sit at the centre of hotel request-for-proposal (RFP) strategies, but the research shows a clear expansion of focus areas. Travel managers are increasingly weighing traveller experience, duty of care and programme resilience alongside pricing outcomes.

This shift reflects a broader evolution in corporate travel management. Accommodation decisions are no longer evaluated purely through negotiated rates, but also through their impact on employee wellbeing, satisfaction and safety. As business travel stabilises globally, organisations are placing greater emphasis on consistency and quality in lodging experiences.

At the same time, inflationary pressure in key hotel markets is making cost containment more difficult. As a result, procurement teams are being pushed toward more flexible and adaptive sourcing models that can respond to fluctuating demand and pricing conditions.

Mixed Use of Outsourcing Across Regions

Outsourcing remains a common feature of hotel sourcing strategies. More than half of organisations now delegate at least part of their RFP activity to external partners such as travel management companies or specialist consultants.

This approach is particularly prevalent in larger enterprises, where global scale and complexity make external support valuable for managing negotiations and supplier relationships. However, the extent of outsourcing varies by region and organisational structure.

In EMEA, outsourcing levels are higher, but travel managers in the region also report more challenging negotiation environments. In contrast, North American organisations generally experience stronger supplier leverage and more stable contracting conditions. These differences underline the importance of regional strategy design rather than a uniform global procurement approach.

Transition Toward Flexible and Blended Pricing Structures

One of the most significant developments in hotel sourcing is the continued move away from rigid pricing models. Although fixed rates remain widely used, organisations are increasingly combining them with dynamic pricing mechanisms to improve flexibility.

Nearly half of corporate hotel programmes have expanded the use of dynamic discounts in the past year. This indicates a growing preference for pricing structures that adjust to market conditions rather than relying solely on pre-negotiated static rates.

Fixed rates are still most common in high-volume destinations where predictable demand justifies stable pricing agreements. However, in secondary or lower-volume markets, dynamic pricing is being used more frequently to capture better value and improve availability.

Another notable shift is the gradual decline of Last Room Availability (LRA) agreements in favour of Non-Last Room Availability (NLRA) models, especially across EMEA. This transition reflects changing expectations between hotels and corporate buyers as both sides seek more balanced commercial arrangements in a volatile market.

AI Becomes a Practical Tool in Sourcing Decisions

Artificial intelligence is rapidly becoming embedded in hotel sourcing workflows. Around one-third of corporate hotel programmes have already used AI during their latest RFP cycle, and adoption is expected to increase sharply, with nearly seven in ten organisations planning to integrate AI into upcoming sourcing processes.

AI is being used to streamline time-consuming tasks such as rate comparison, data analysis, contract evaluation and forecasting. Travel managers report that these tools are particularly effective in handling large datasets and identifying cost optimisation opportunities that would be difficult to detect manually.

Despite this growth, AI is not replacing human oversight. Instead, it is functioning as an augmentation layer that improves efficiency while leaving final decision-making in the hands of procurement professionals. Human judgement remains essential when assessing qualitative factors such as hotel service standards, brand alignment and traveller preferences.

This hybrid model of decision-making reflects a broader transformation in corporate travel management, where automation supports but does not replace strategic control.

Programme Management Becomes More Performance-Oriented

Corporate hotel programmes are increasingly being managed through a performance lens. Travel managers are focusing not only on cost savings but also on measurable outcomes such as compliance rates, traveller satisfaction and risk mitigation effectiveness.

Programme compliance remains a key challenge, particularly in large organisations with complex travel patterns. To address this, companies are investing in better tracking systems and behavioural insights tools that encourage bookings within approved hotel channels while preserving traveller flexibility.

Improved analytics capabilities are also changing how programmes are evaluated. Travel managers now have greater visibility into booking behaviour, pricing efficiency and supplier performance across different regions, enabling more informed decision-making throughout the sourcing cycle.

Outlook: Greater Agility and Strategic Collaboration Required

The direction of corporate hotel sourcing points toward increased agility, technological integration and strategic collaboration. As market conditions continue to evolve, organisations are expected to refine their sourcing models further, blending fixed and dynamic pricing, expanding digital tools and improving data-driven decision-making.

Differences between regional markets will continue to shape procurement strategies, making local expertise and tailored approaches increasingly important. At the same time, partnerships between corporate buyers, hotels and intermediaries are likely to become more critical in navigating pricing complexity and ensuring programme effectiveness.

Overall, the research suggests that success in corporate hotel sourcing will depend on an organisation’s ability to balance cost efficiency with traveller experience, integrate AI meaningfully into workflows and maintain flexibility in a market that is becoming more dynamic and less predictable.