Wednesday, 12 November 2025
At the core of MENU ORDER AI is its Smart Menu Engine, which analyses restaurant menus in seconds to identify GLP-1-friendly, high-protein, low-carbohydrate, and low WW point meals As Medicare…
At the core of MENU ORDER AI is its Smart Menu Engine, which analyses restaurant menus in seconds to identify GLP-1-friendly, high-protein, low-carbohydrate, and low WW point meals
As Medicare prepares to expand coverage for GLP-1 medications such as Ozempic, Wegovy, and Mounjaro, a new tech innovation is emerging to meet the evolving needs of health-conscious consumers. MENU ORDER AI, a next-generation dining companion app, is gearing up for its App Store debut, offering a smarter way for users to navigate restaurant menus while maintaining their nutrition and wellness goals.
Developed by ORDER AI LLC under the leadership of Founder and CEO Melissa Butler, the app has undergone extensive beta testing and refinement to deliver faster restaurant suggestions and intelligent meal recommendations. The upcoming version integrates real-world feedback to ensure a seamless and empowering dining experience.
“We’ve built MENU ORDER AI for the real world for GLP-1 users who still love to dine out and for restaurants that want to welcome them back,” said Melissa Butler. “Our app isn’t about restriction; it’s about confidence, freedom, and smarter choices powered by AI.”
At the core of MENU ORDER AI is its Smart Menu Engine, which analyses restaurant menus in seconds to identify GLP-1-friendly, high-protein, low-carbohydrate, and low WW point meals. It also provides personalised “Smart Tweaks”, small adjustments such as skipping the bun or swapping sides, to help users stay on track without compromising enjoyment.
Seamlessly integrated with major restaurant, reservation, and delivery platforms, the app aims to bridge the gap between the growing GLP-1 user base and restaurants eager to serve them. With App Store approval pending, the launch positions MENU ORDER AI at the intersection of AI-driven personalisation, nutrition, and digital dining innovation.
Engineering for the platform was executed by Weblynx and Muhammad Bilal, under Butler’s direction, resulting in a secure, scalable system built to support real-time data and evolving AI frameworks.
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