Travel policy optimisation

Refining the travel policy using data for greater savings and employee convenience. It uses insights from travel spend and behaviour analytics to adjust rules — such as booking windows or preferred suppliers — so the policy better reflects how the company actually travels. The aim is a policy that controls cost without becoming so restrictive that travellers routinely work around it.

Optimisation usually starts with data: spend by category, compliance rates, exceptions, advance booking patterns, supplier usage and traveller feedback. Based on this, companies may adjust hotel limits by city, change cabin rules for long-haul flights, introduce advance-booking targets, add or remove preferred suppliers or simplify approval rules for low-cost trips. The effect of each change is then measured to confirm it is delivering the expected results. Traveller surveys add valuable context, revealing where rules feel unfair or create unnecessary friction.

Optimisation is an ongoing process rather than a one-off exercise. Prices change, the company enters new markets, travel patterns shift, and expectations around sustainability and wellbeing evolve. Reviewing the policy at least once a year — and more often during periods of change — keeps it relevant. The best-optimised policies are those that employees see as fair and easy to follow, which in turn improves compliance. Small, well-explained changes are usually easier to adopt than a complete rewrite.

Tumodo provides both the data and the tools for policy optimisation. Analytics show spend and deviations by trip, team, cost centre, route and service type, and the platform highlights price trends and savings opportunities. Policy rules can be changed at any time for the whole company, departments or individual employees. In addition, the dedicated key account manager reviews the company's travel activity every six months and offers actionable insights to cut unnecessary costs.