The world’s leading (only?) Mexican-inspired quick service restaurant (QSR) Taco Bell is aiming to personalise its app user experience based on location, past dining history, weather and pricing as the eating out sector ups its game.
As Taco Bell continues to create an innovative omni-channel customer experience in the QSR industry, the company plans to show guests the most relevant menu items, promotions and content based on a particular individual and visit. Additionally, the company accounts for different menu items and pricing across regions to provide guests a tailored experience. Taco Bell’s continuing collaboration with Certona has been powering individualised customer experiences through its mobile app since early 2019.
“Taco Bell is all about satisfying our fans with the most craveable dining experience imaginable. Of course, we know each of our fans has their favourites and their own preferences. As a forward-looking company, we’re using the latest machine learning and AI technology to better deliver on those individual preferences,” explains Derrick Chan, Director eCommerce, Taco Bell. “That’s why we are thrilled to work with Certona and leverage their proven personalisation platform with real-time support to present our fans with the most immediately craveable menu items every time they use our app, reducing the ordering friction and satisfying their appetite.”
“Taco Bell’s reputation for driving innovation in the QSR industry is unmatched. We are excited to be a part of their efforts to deliver frictionless experience to their fans and to help them discover exciting new menu items,” adds Meyar Sheik, President & Chief Commerce Officer, Kibo. “Certona’s advanced capabilities in personalisation, data science and omni-channel experiences enables Taco Bell to create continuously compelling one to one interaction with its fans.”