AI-Informed Mobile Menu Items

Taco Bell Partnered with Certona to Improve In-App Customization

Taco Bell recently entered into a partnership with Certona, in order to bolster in-app customization. The two organizations will leverage machine learning and AI to inform what content the app displays. Specifically different menu items and promotions will be displayed, depending on a user's location and purchasing history.

Initially, Taco Bell began working with Certoa at the beginning of 2019, and the new partnership will bring the two organizations closer together.

Providing customers with more in-app customization could result in increased revenue for the brand, as the menu will be informed by previous purchases. This means that customers may be more likely to buy food from Taco Bell if the menu is tailored to their own individual preferences.

Image Credit: Shutterstock

AI-powered Customization
The partnership between Taco Bell and Certona showcases the disruptive innovation opportunity to use AI and machine learning to tailor mobile app experiences according to the individual preferences of users.
Location-based Offerings
Through the partnership, Taco Bell and Certona can gather data to offer location-specific promotions to customers in real-time, a disruptive innovation opportunity for the restaurant industry.
Personalized Recommendations
Using AI to inform recommendations for menu items based on a user's past purchases can improve customer experience and satisfaction, offering a disruptive innovation opportunity for the fast food industry.

Industries Being Reshaped

Fast Food
The AI-powered customization offered by Taco Bell and Certona could disrupt the fast food industry by boosting customer loyalty and enhancing the overall dining experience.
Mobile App Development
More organizations are likely to adopt AI and machine learning to tailor mobile app experiences to users, presenting a disruptive innovation opportunity for mobile app development.
Data Analytics
The partnership between Taco Bell and Certona is an example of how data analytics can be used to personalize the customer journey and inform business decisions, highlighting a disruptive innovation opportunity for the data analytics industry.
SCORE
4.4 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, South America, Europe, Asia, Africa
GENERATION
  • Gen Alpha
  • Gen Z (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 40%
Activity 82%
Freshness 9%

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