Your payment provider isn’t pricing your travel business risk. They’re approximating it.

Travel operators are often treated as high-risk by default. In practice, that classification drives reserves, settlement timing, and pricing bands, sometimes more than the actual profile of the business itself.

The challenge is that underwriting does not always go much deeper than the category itself. The merchant is classified as “travel”, and a set of standard assumptions follows: rolling reserves, delayed settlements, and fee ranges positioned at the higher end of the spectrum. The underlying variables, such as booking horizon, refund behaviour, supplier structure, and historical chargeback performance, do not always materially influence the outcome.

This creates a system where the category does most of the work, and individual risk profiles receive less weight than they arguably should. 

Saran Talasila, Payment Expert at Exactly.com - Business Travel Show Europe | Stand G63 | - examines how travel and hospitality businesses are assessed by payment providers, and whether the conditions they receive truly reflect their individual risk profiles. 

For many travel businesses, the answer is likely familiar: NOT ALWAYS. This article breaks down where category-based models fall short, the cost of applying one-size-fits-all risk assumptions, and what needs to change in payments to help travel businesses scale without scaling costs.

Where reserve structures reveal the gap

For many operators, reserves are a more significant constraint than processing fees.

Take a business processing £100,000 per month. A 10% rolling reserve held over a six-month period can represent a substantial amount of working capital tied up on an ongoing basis. It is capital that cannot be used for supplier payments, payroll, marketing, or operational flexibility, regardless of whether the underlying risk materialises.

From a provider’s perspective, reserves are intended to cover exposure: chargebacks, refunds, insolvency risk, or non-fulfilment scenarios. These are valid considerations. The question is not whether risk exists, but whether it is being measured with sufficient precision.

In some cases, relevant signals, such as long-term chargeback stability, refund ratios, or the average time between payment and service delivery, are not fully reflected in the reserve structure itself.

Settlement cycles and pricing follow similar logic

Settlement timing is often aligned with the same risk classification. Once a merchant is placed in a category, operational parameters tend to standardise around that category. Within a category, operational parameters tend to standardise around it.

Fees often follow a similar pattern, with pricing anchored to category-level assumptions rather than a merchant’s individual performance profile.

Where the operational gap becomes visible

The difference is usually not apparent in steady-state conditions. It becomes more visible during exceptions: refund spikes, supplier disruption, or elevated dispute volumes.

At that point, the quality of support infrastructure becomes a material factor. In some cases, merchants have direct access to risk or account teams that can dynamically reassess exposure. In others, escalation paths are more limited, and resolution remains process-driven rather than relationship-driven.

This is often where the difference between category-based management and merchant-level underwriting becomes most evident.

Important questions travel businesses should be asking payment providers

• What is my reserve actually benchmarked against?
• Does my settlement cycle reflect my real exposure profile?
• What operational support exists during dispute escalation?
• How would the structure respond if refund rates changed materially over a short period?

And one of the most important questions: are there any additional fees beyond the payment processing fee, such as monthly fees or fraud-related charges?

Where the answers are primarily policy-based rather than data-driven, it may indicate a category-led model rather than a merchant-specific one.

Removing labels

Some providers do take a more granular view of risk, related to travel businesses. These models typically incorporate variables such as chargeback history, refund velocity, booking horizon, supplier concentration, and exposure windows between payment and delivery.

In these cases, reserves and pricing are more closely aligned with observed behaviour rather than category assumptions.

The category explains how the system was built, but it does not always reflect how an individual business performs within it.

Travel has long been treated as a high-risk vertical, and for good reason.

Volatility, long booking horizons, and events like COVID-19 have shaped that view across the industry.

The shift is not about removing risk controls. It is about applying them more precisely — moving from static category assumptions toward continuous, business-level assessment and fair fees for every business, no matter its size or broad industry category.