Collaborating with our partners usually ends in all-in-one, all-digital solutions that enable them to keep up with the everchanging behavior and needs of mobile-first users.Take a look at some of our use cases
We partnered with Visa to co-create a superior, white-label, all-digital loyalty platform that opens a new world of redemption opportunities to cardholders around the world.
My Rewards allows banks to customize and automate their very own platform without the need to hire and train personnel. All customer service is handled by our representatives, fluent in English, Spanish and Portuguese.
Navigation meets customer service. Our Hum/Bot, alle, is an AI-powered conversational platform that makes it easier for users to buy products and get answers to their questions in the messaging channels that they already use every day.
By collaborating with LivePerson and Aaxis, we were able to turn this conversational interface into a highly intuitive tool that also learns from our users to anticipate their needs and cater to their preferences.
Additionally, we used Aaxis' Machine Learning capabilities to create a smart profile that leverages user data to streamline invisible payments, all for a simpler and enhanced experience.
Moving forward, we’ll continue to work with both organizations in implementing new channels, such as Instagram, where novae has already been granted beta access.
As part of our co-creation efforts, we've also joined forces with Expedia and Canopius to develop a state-of-the art search engine with Best-Price Guarantee on millions of options in flights, hotels, entertainment, car rentals and more.
Plus, we've made it even more compelling with unrivaled advantages for even the most demanding users:
Our partnership with Visa, CyberSource and Metropolitan Commercial Bank has enabled unique functionalities to ensure we thrive in the payments experience of more than a billion eligible Visa through Visa Direct and MasterCard cards through MC Send.
Working with our partners has helped us anticipate our customer needs and expectations and translate them in relevant use cases to simplify the way they pay and get paid.