EngageAI feature
Booking Window Optimisation
Earlier bookings. Lower fares. Less carbon.
EngageAI identifies travellers who habitually book late, predicts their upcoming trips, and nudges them to book earlier — when fares are lowest and direct flights are still available.
Small shifts in booking behaviour can unlock significant cost and carbon savings
Booking earlier is 6% cheaper on long haul
$84.67 cost difference between booking in optimal window vs last minute
Booking earlier is 27% cheaper on short haul
$52.68 cost difference between booking in optimal window vs last minute
40% of business travellers book flights within 7 days of travelling
Late bookings are costing your travel programme more than you think
Travellers who book late don't just pay more – they're more likely to end up on indirect flights, adding hours to their journey and carbon to your programme's footprint. Most travel managers know this. Many have policies designed to address it. But with 46% of travellers admitting they don't check policy before booking, knowing the problem and solving it are two different things.
EngageAI bridges that gap, shifting when travellers book – not where or how – so the savings come naturally.
How Booking Window Optimisation works
1. Predict the trip before it's booked
EngageAI analyses historic traveller behaviour and booking patterns to identify trips that are likely to happen again.
Using this data, the platform highlights journeys where booking earlier would increase the chance of securing a direct flight at a lower fare.
2. Intervene in the ideal booking window
When a potential trip is identified, EngageAI sends a targeted message encouraging the traveller to book within the optimal window.
Travellers can begin the booking process directly from the message, making it easy to act on the recommendation.
3. Get smarter with every nudge
EngageAI evaluates how travellers respond to the intervention and which nudges successfully lead to earlier bookings.
Over time, the platform refines when and how messages are delivered, helping organisations increase early bookings without unnecessary messaging.
Frequently Asked Questions
How does EngageAI predict upcoming trips?
EngageAI analyses historic traveller behaviour and booking patterns to identify trips that are likely to happen again. When a similar trip is expected, the platform can prompt the traveller to book earlier while lower fares and direct routes are still available.
What is considered an “optimal booking window”?
The optimal booking window varies by route and organisation. EngageAI uses your travel policy and market dynamics such as fare levels, route availability and the likelihood of securing a direct flight to identify when earlier booking is most likely to reduce cost and carbon.
Does this replace corporate booking policies?
No. Booking Window Optimisation works alongside your existing travel policy and booking processes.
It helps turn earlier booking intentions into action by nudging travellers when a trip is likely to be planned, increasing the chance of securing lower fares and direct flights.
How does booking earlier reduce carbon emissions?
Direct flights are typically the lowest-carbon option. Booking earlier increases the chance of securing such a flight, avoiding indirect routes with higher emissions.
How does EngageAI avoid sending too many messages?
EngageAI tracks how travellers respond to interventions and learns which messages are effective.
The platform prioritises situations where the potential benefit is highest and avoids repeatedly nudging travellers who are unlikely to respond.
Turn booking lead time into a cost and carbon opportunity
EngageAI uses a usage-based pricing model aligned to the size and complexity of your travel programme. This allows you to run a focused pilot, prove impact and scale based on results.
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