Zummi – AI-Powered Restaurant Discovery in San Diego
10M+ Data Points Evaluated
Leveraged an NLP model to analyze user sentiment from millions of reviews
True Score System
Restaurants ranked based on real customer sentiment, not just ratings
Seamless Restaurant Discovery
Intuitive search, smart filters, and real-time updates
Transforming Restaurant Discovery with NLP-Powered Sentiment Analysis
Zummi is a cutting-edge restaurant discovery platform that leverages Natural Language Processing (NLP) to analyze millions of user reviews and generate a True Score for each restaurant. Our team built a robust, scalable web application to streamline the restaurant discovery experience for both users and business owners. We developed a platform that ensures authentic restaurant rankings, smart recommendations, and seamless user interaction.
Key Features & Capabilities
Advanced Search & Discovery
AI-Powered Search – Users could search by restaurant name, cuisine, dish, or even dietary preferences.
Proximity-Based Filtering – Search results could be sorted based on location, True Score, and sentiment trends.
Interactive Map View – Users could visualize results geographically for better decision-making.
Personalized Restaurant Insights
True Score System – Restaurants ranked based on real customer sentiment rather than arbitrary ratings.
Menu Sentiment Analysis – Popular dishes were highlighted based on positive review trends.
Restaurant Profile Pages – Detailed pages with hours, location, menu, and trending dishes.
Restaurant Business Tools
Restaurant Claim & Management – Owners could claim their business and edit restaurant metadata.
Customer Sentiment Dashboard – Restaurants received AI-driven insights on user feedback.
New & Upcoming Restaurant Listings – Users could explore newly opened and soon-to-launch restaurants in their area.
How We Built a Smart, Data-Driven Restaurant Platform
Harnessing NLP for Reliable Sentiment Analysis
Built an NLP model that analyzed millions of user reviews to derive restaurant rankings based on actual sentiment rather than generic ratings.
Grouped reviews into key themes (service, ambiance, food quality) to generate more accurate restaurant insights.
Optimized Search & Filtering for Intuitive Exploration
Users could find restaurants based on menu items, dietary needs, or specific dishes
Results could be refined by sentiment-based scores, proximity, and user preferences
Users could switch between list and map view for a seamless experience
Empowering Restaurants with Data-Driven Insights
Provided AI-powered sentiment insights to help restaurants improve their offerings
Allowed restaurant owners to claim and manage their listings, update menus, and track performance
Restaurants could analyze their sentiment score versus competitors in their category
Delivering The Future of AI-Powered Restaurant Discovery
Trustworthy & Authentic Restaurant Rankings
Replaced traditional star ratings with AI-powered sentiment analysis, ensuring users receive reliable, data-driven recommendations.
Smarter & Faster Restaurant Discovery
Advanced AI search capabilities allowed users to find restaurants based on highly specific queries, from “best gluten-free pasta” to “late-night sushi near me”.
Empowering Restaurants with Actionable Data
Restaurants gained deep insights into customer sentiment, allowing them to refine their offerings and improve customer experience.
Trending Insights
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