nClouds AWS Case Study | Onriva
Onriva is an industry-transforming travel platform that is leveraging the latest standards and technologies (NDC), AI, and machine learning to provide a personalized one-stop shopping experience for all travel, including air, hotels, cars, packages, and more. To learn more, go to https://www.onriva.com/
Faster build of highly accurate training datasets.
Reduced costs and complexity, increased accuracy.
Rapid extract, transform, load (ETL) of data.
In a 2017 Accenture study, 67% of respondents said that they want brands to use previous travel information to help them make better travel decisions. So, it’s not surprising that companies in the travel industry have embraced machine learning to deliver new insights and provide customers with enhanced user experience.
By analyzing large datasets, machine learning-infused travel systems can predict travelers’ needs and provide them with personalized recommendations. As a result, the traveler benefits from getting relevant information at the right time, while the travel provider benefits from new customer acquisition, maximizing revenues, and increased customer engagement and loyalty.
“nClouds brought a deep expertise in designing and implementing big data infrastructure and helped (with) incorporating machine learning and AI for our recommender platform. Really appreciate their help at the very early stage of model development and getting our data ready for machine learning.”
Onriva engaged with nClouds to help them with the build phase of implementing machine learning.
Users’ search results are provisioned by AWS Lambda before being incorporated in a transactional database. Onriva’s transactional database uses Amazon RDS, and their user interaction database uses Amazon EC2. Search results in JSON format are stored in Amazon S3.
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