This is something that we all have experienced - that the hardest part of travelling is planning it - getting tickets booked,hotel reservations done etc,all with the best returns possible. Being an online travel portal we have found that more often than not, a user visits various online portals to go ahead and finalize the itinerary. This we consider as a big pain for the end user. This is largely because of information overload or because of the perception of information overload clubbed with multiple factors like price comparison and destination selection.
This has been further testified by a PhoCusWright report quite some time back, where in it says that it actually takes many days for users to select destination and then to book it.
We always wanted to give tools to users to make sure that booking and post booking experience is taken to next level. A small beta feature is out on our product which we call as our ‘Dig Algorithm’, Its a recommendation platform that we are trying to build across the travel products that we offer. The core idea is to dig into the search results to come up with best recommendations based on the various considerations.
Currently the feature can be explored on international flight search results page. Its a beta implementation to understand how we can fine tune it further by adding more parameters and factors to it, the core idea is to make search even more simpler.
Enabling the ‘Dig Algorithm’ will abandon from the classical approach of sorting results based on fare and will now sort results based on the rating that has been given to individual flights based on their performance on three parameters:
3) Cancellation Policy
A user can further go deep and check by hovering on ratings bar to understand why we rated certain flights better then the other.
As per our tests, the combination of these parameters (with optimal scaling) bring out recommendations of flights or combination of flights that are best suited for travel user has searched. The algorithm is designed to make sure that fare is by and large near about the lowest fare and the duration of flight is shorter with cancellation policy favorable of last minute changes.
This is an ongoing work, where we are working on getting the algorithm even better by understanding multiple other parameters for flights and by bringing this to other verticals like hotels and holidays, We are very excited and would love to hear if you have used the same. Your valuable feedback will bring the best of the product.
The next time you visit Goibibo,do give Dig a try! Who knows,it might save you some time,and more importantly, lead to a travel planning with less frustrations and more smiles.