Hopper, Inc. is a travel booking app and online travel marketplace that sells flights, hotels, rental cars, and short-term rentals. It uses machine learning to change the price of its offers, providing more flexibility for users. Currently, Hopper is the most downloaded travel app in North America, selling over $6 billion in travel annually through 25 points of sale globally.

In 2017, Hopper saw a big increase in flight sales, and the team handling schedule changes struggled to keep up. They realized they needed better technology to work more efficiently and improve their finances. It became even clearer during the COVID-19 pandemic when there were too many ticket cancellations and not enough staff to handle the changes. Thus, here came the tasks to tackle:

When the business objectives and solutions were set, Trava introduced the first phase: minor schedule changes.

Soon after, automated processes were deployed in other spheres:

Additionally, automated processes covered NDC, starting with schedule changes for one of Hopper’s largest carriers (NDA). Schedule changes (both minor and major) are now 98,8% automated. Additional functionality and carriers are continuously being added, connecting directly to the respective NDC environments.

By automating the post-booking processes, Hopper has largely reduced manual operations while maintaining the company's growth. The resources, that were previously engaged with tedious repetitive work, are now applied to enhancing customer value and exploring new opportunities.