The Challenge
In an industry like tourism, heavily influenced by social and geopolitical factors, and deeply marked by uncertainty and seasonality, relying solely on historical data for marketing strategy is insufficient. Predicting and understanding user behavior is crucial for business growth by capturing the opportunities presented by the sector’s recovery, which had already reached 88% of pre-pandemic levels by 2023.
The Approach
We integrated Vimana as a predictive solution for travelers’ interests to adapt campaigns, offering key
information to hotels, airlines, tour operators, and agencies for more efficient destination management, thereby increasing the number of bookings on media platforms.
We utilized direct channel information obtained through Google Analytics and Salesforce to link demand behavior with bookings, thus assisting in prioritizing destinations or routes with higher demand.
For demand prediction, we leveraged Google Cloud (Vertex AI) for model training, using our AI solution called ClaudIA. For generating insights and automatic reports, we utilized Gen AI from Vertex, although we validated with other LLM models like OpenAI’s.
Vimana’s insights can be automatically activated on major platforms such as Google Ads through Value Rules,
or Meta.
At t2ó, we have been pioneers in Travel vertical solutions. With Vimana, we provide our clients with the power
of data and Artificial Intelligence focused on business needs.
The Results
Thanks to Vimana, we’re able to base our digital strategy on market anticipation. We segment and optimize campaigns based on high-quality insights derived from Vimana’s predictions, achieving improvements of 200% in bookings for some campaigns
Laure Fenech – Head of Ecommerce & Marketing – Pierre &
Vacances