ML Model Use Cases
In my Travellopia work, I worked across different stages of the customer lifecycle.
First, for new leads, we predicted which leads were more likely to convert so that the sales and marketing teams could prioritize them.
Second, for existing customers, we predicted the probability of rebooking within 0–60 days and identified their preferred destinations so that we could provide personalized travel packages.
Third, we used browsing behavior such as pages visited, quote requests and email signups to identify customers whose booking propensity was increasing.
Finally, we recommended ancillary products to customers because increasing ancillary attachment directly increases revenue per booking.
Lead Usecase KPIs:
Repeat Usecase KPIs:
Ancillary Usecase KPIs:
