Every commission paid to an online travel agent is margin leaving the business. Winning direct bookings is mostly an engineering and operations problem.
For most properties in the region, the single largest controllable cost is not staffing or utilities. It is commission.
An online travel agent brings genuine demand and takes a meaningful share of the rate for doing so. That is a fair trade for reach a property could not achieve alone. It stops being a fair trade when a guest who already knows the property by name books through an intermediary because the direct route was slower, less clear, or less trustworthy.
Recovering those bookings is where the money is, and it is mostly an engineering problem.
The direct booking engine has to be genuinely better
A guest comparing your website against a familiar aggregator is making a rational choice. Your site wins only if it is faster, clearer and more trustworthy — not merely cheaper.
What that requires in practice:
- Live availability. Showing a room that turns out to be unavailable is worse than showing nothing.
- Total price visible early, including taxes and levies. Surprises at the final step lose the booking to the site that showed the real number.
- Mobile-first performance on a mid-range phone over mobile data, not on office fibre.
- Local payment methods, including mobile money, not card-only.
- Immediate, credible confirmation the guest can show at reception.
A property that gets those right can compete on the same rate and keep the commission. One that does not will lose bookings it had already earned.
Channel management is the quiet failure point
Selling the same inventory across a website, two aggregators and a phone line means overbooking is a permanent risk. It is also among the most damaging things that can happen — an arriving guest turned away generates a review that outlasts any marketing.
The requirement is a single authoritative inventory that every channel reads from and writes to, with clear behaviour when a channel is unreachable. The question worth asking any vendor: if the connection to an aggregator drops for an hour, what happens to inventory, and what happens when it reconnects with bookings made during the gap?
An answer involving "we reconcile manually" is a description of a future overbooking.
Operations decide the review, not the booking
Guest experience is largely determined after arrival, by whether internal handoffs work.
The examples are mundane and consequential. Housekeeping marks a room ready but the front desk does not see it, so a guest waits. A maintenance issue is reported verbally and never logged, so it recurs for the next guest. A dietary requirement captured at booking never reaches the kitchen.
None of these need sophisticated software. They need one record per stay that every department reads from and writes to, and status changes that propagate immediately. Most of the value from hospitality systems comes from removing handoff gaps, not from analytics.
Personalisation should be modest and useful
The industry oversells personalisation. Guests do not want to be surprised by how much a property knows about them.
What is genuinely appreciated is narrow: remembering a room preference, recognising a returning guest by name, not asking for information already provided. That requires a reliable guest record more than a recommendation engine.
It also requires care with data. A guest record accumulates identity documents, payment details and stay history. Retention should be deliberate, access should be limited to staff who need it, and the property should be able to answer what it holds about a given guest.
Seasonality rewards good data
Demand here is strongly seasonal and event-driven, which makes rate decisions consequential. Useful decisions need booking pace by segment, lead time distribution, cancellation patterns by channel, and last year's equivalent period alongside this one.
That is a data availability problem before it is a pricing strategy problem. A property whose booking history is spread across an aggregator extranet, a spreadsheet and the manager's memory cannot make these decisions well regardless of the pricing model.
Where we fit
We build booking engines, property management systems, channel integrations, and the payment and messaging layers around them — including mobile money and the reconciliation that follows.
See our hospitality and tourism page, or tell us about your property.