Travel
Dynamic pricing to support
revenue management
We increase
Revenue and ancillary services
We elevate
Customer loyalty studying consumer behaviours
We make
Pricing a lever to acquire new consumers
We reduce
The unsold and optimizes customer segmentation
Artificial Intelligence
Dynamitick algorithms intercept the propensity to the consumption
Our algorithms consider a wide range of variables (historical and actual booking situation, market demand, weather, guest reviews and events) in order to estimate the demand and optimize the price.
Dynamic pricing becomes necessary
Travel industry introduced it at first with airline companies
Deregulation of airline pricing in 1978 permitted American Airlines to launch DINAMO (Dynamic Inventory Optimization and Maintenance Optimize) strategy. In one year enjoyed a significant increase in revenues (47,8%)
79
%
Of travellers add a service upgrade when priced dynamically
40
%
Hotel rooms unsold
