23 Daily — Zest, a restaurant discovery app launched earlier this year, introduced on October 30 an AI-powered personal restaurant concierge accessible via text messages. The service combines users' and their friends' taste preferences, recommends restaurants, and books reservations directly within messaging threads, eliminating the need to open separate apps, according to techcrunch.com.

Personalized Recommendations Backed by Credit Card Data

Founded in November 2024 with

.8 million in pre-seed funding from Alexis Ohanian and Kindred Ventures, Zest uniquely links users' credit card transactions—retrieved through the financial services platform Plaid—to track dining expenditures. This data enables the app to understand actual eating habits and generate tailored restaurant suggestions locally or while traveling. CEO Mario Gomez-Hall stated, "The agent learns from where you've actually been, avoiding long onboarding conversations."

Group Chat Integration Enables Taste Blending and Voting

The AI concierge can be contacted via text at (212) 470-6067 and can be added to group chats where it merges attendees' preferences to recommend restaurants that satisfy the whole group. It includes an in-thread voting feature to resolve indecision and interfaces with platforms like OpenTable, Resy, and SevenRooms to make instant reservations without leaving the conversation. This approach streamlines dining planning within daily communication tools.

Interactive Features Enhance User Experience

Users can request restaurant recommendations based on cuisine, cravings, occasion, dietary restrictions, or neighborhood and ask about a restaurant’s busy status, Wi-Fi availability, or menus. TechCrunch testing found the AI effectively generated lists matched to conditions such as time, party size, and location, while providing available booking times. The booking capability is crucial, offering convenience beyond many existing apps.

Editor's take: New Opportunities in Cross-Platform Dining Coordination

Zest is pioneering a shift from dedicated mobile apps to lightweight, conversational interfaces, potentially expanding its user base beyond initial thousands and monetizing through bookings and upcoming food ordering services. For entrepreneurs, Zest exemplifies how combining natural language AI with actual transaction data can improve user engagement by embedding services into everyday communication channels. Validation involves assessing the AI’s ability to quickly recommend and reserve appropriate restaurants based on users’ and groups’ dining history, measuring recommendation accuracy and booking success rates.