05.10.2021 г.

Smart Engines’ ID scanning technology improves the guest boarding experience of Royal Caribbean Group cruises

Smart Engines technology helps Royal Caribbean Group streamline the guest boarding experience. Use of the Smart ID Engine has reduced friction and improved the guest experience, freeing terminal agents’ time to focus on personalizing guest interactions.

Smart Engines’ ID scanning technology improves the guest boarding experience of Royal Caribbean Group cruises

Royal Caribbean Group is known for premium service. Using Smart Engines technology, guests are presented a travel document scanning process that is quick and intuitive, and offers the guest a streamlined experience in the terminal before boarding the cruise. Indeed, most guests quickly and efficiently scan their travel documents at home before traveling to the terminal. When document scanning is necessary at the terminal, terminal agents efficiently handle the task leveraging the Smart ID Engine.

“By leveraging Smart Engines Smart ID Engine technology, we have been able to advance the guest arrival experience by removing friction, and by simplifying the experience at home and at the terminal,” — says Tim Klauda, VP Product, Royal Caribbean Group.

“Royal Caribbean Group strives — through innovation — to provide the best cruise experience to its guests and we share this same goal. Entering the cruise industry with the world’s leading cruise line is an important milestone for Smart Engines. We would like to thank Royal Caribbean Group for trusting us,” — states Dr. Vladimir Arlazarov, Founder and CEO of Smart Engines.

There are other synergies to the Royal Caribbean Group and Smart Engines collaboration. Both companies are united in a common goal to protect the environment. In 2020, Smart Engines joined the UN Global Compact. Smart Engines research is aimed at creating new energy-efficient neural network architectures. The proprietary Green OCR® technology, developed in Smart Engines software products for document scanning, enables it to reduce carbon footprint in the process of machine learning and the use of AI on many devices.

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