Our company provides our customer with a decision-making tool that helps them to choose the best itinerary that fits their need with minimal price possible and best benefit.
The current travel agencies or airline operators only provide travel products for the travellers with filters and sort the itinerary based on different criteria, but it still takes a long time for the traveller to choose the best option among them. It is still a bit difficult for users who have a relaxed travelling date or other preferences to have more customer-oriented options.
By using operational research technique, it is possible to develop an interface that the customer has multiple criteria to choose from, such as a range of dates, airline company/alliance preference as well as price range. By using linear programming and machine learning, the process can be regarded as an optimisation problem and the customer can have less but more accurate recommended options to choose from.