PlatePost
PlatePost is a guest experience platform that converts restaurant menus into dish-by-dish video menus displayed across table QR codes, websites, TVs, and social links. The platform includes AI-powered guest and owner assistants, multilingual support in up to ten languages, and dish-level analytics to help multi-location restaurants increase same-store sales. It integrates with Toast, Square, and Clover POS systems and offers both filmed video production and AI-generated video from existing photos.
- Food Technology
- Hospitality & Travel Technology
- Artificial Intelligence
- Software Only
- AI Agents
- Marketing Technology
- Data & Analytics
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Traditional static menus and photos fail to capture guest attention in an era of video-first content consumption, leaving restaurants unable to effectively showcase their dishes. This limits same-store sales growth potential, particularly for higher-margin items that benefit from visual appeal and presentation.
Solution
PlatePost provides a guest experience platform that turns a restaurant's existing menu into a video menu, with dish-by-dish videos displayed across table QR codes, websites, TVs, and social links. The platform includes AI-powered features such as a guest assistant, SEO optimization for AI crawlers, multilingual support in up to ten languages, and dietary/allergen tagging. Restaurants can manage their menu centrally with version history, team accounts, and a dashboard showing dish-level analytics including most-watched items and guest behavior patterns. The service integrates with Toast, Square, and Clover POS systems and offers both filmed video production and AI-generated video from existing photos.
Target Audience
Primary customers are multi-location restaurant groups and independent restaurant owners in the United States who want to increase same-store sales through video-based menu presentation and digital guest engagement. The platform serves restaurant categories including coffee houses, Asian cuisine, and casual dining establishments.
Features
- VideoMenus™ that convert each menu item into a short video, distributed via QR codes, websites, TVs, and link-in-bio
- AI-powered guest assistant that answers menu questions and an owner assistant ("Piggy") that helps with menu management and analytics queries
- Answer engine optimization with llms.txt files and explicit invitations to AI crawlers (GPTBot, ClaudeBot, Perplexity) for AI-discovery readiness
- Dish-level analytics tracking most-watched items, guest behavior patterns, and return visits, with data retention of 400 days for individual event records
- Multi-language menus supporting up to ten languages with allergen and dietary tags that filter the entire menu
- Integration with Toast, Square, and Clover POS systems, including Toast weekly re-check with draft approval workflow
- "Pairs well with" recommendations based on actual guest ordering patterns
- Branded minigames, happy hour scheduling with automatic pricing changes, and online ordering through Toast
- AI photo and video tools that turn phone snapshots into menu-ready content and photos into video
- Version history, team activity logs, and CSV/PDF/JSON export capabilities