Platforms
Increasing revenue with dynamic pricing.
The problem
Booking platforms compete in full view of the customer. Prices are compared across sites in seconds, so buyers are acutely price-sensitive and demand swings hard — seasonality, economic conditions and one-off shocks push bookings from last-minute to far in advance and back again.
Platforms sit on vast histories of pricing, customer behaviour and competitor moves, but turning that into the right price at the right moment is hard: competitors shift constantly, the data is overwhelming, and a pricing system that adapts across all those variables is genuinely difficult to build and maintain.
What we built
We applied our patent-pending demand modelling to the platform's own booking data to drive dynamic discounts in real time — pricing that moves with demand rather than against it, nudging more customers to book at the moment they are deciding.
The engine lets the platform optimise pricing dynamically, holding the tension between protecting margin and maximising bookings, and applying discount only where it changes the outcome.
What it changes
Pricing stops being a periodic manual exercise and becomes a live response to demand — strategic discounting that works to grow bookings without giving away margin across the board.