IndonesiaTravel and aviation2022 – ongoingTraveloka
Amazon Personalize recommendations for travel products
Traveloka's Amazon Personalize recommendations achieved 66% higher click-through rates than its internal model, according to AWS
Problem
Traveloka wanted customers to find relevant travel offerings across its app's different product categories.
Approach
Traveloka used Amazon Personalize across 5 product lines, including flights, hotels and travel experiences. AWS reported higher click-through rates for recommended experiences on the mobile app homepage than for Traveloka's internal solution and another supplier's model.
Results
Takeaway
The comparison used existing recommendation systems as baselines. The reported gains measured clicks; AWS did not report a corresponding increase in completed bookings.
Categories
- Industry
- Travel and aviation
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS described Traveloka's use of Amazon Personalize across travel product lines. Its customer example reported click-through rates 13% above another supplier's model and 66% above the internal alternative.
Full details are in the original sources.
