Serving AI-Powered Dining Recommendations
Trofimo's 'Dynery' App
The Dynery app – A social dining application integrating restaurant discovery, booking, and social features.
The Challenge
Trofimo faced the challenge of categorizing a vast array of dining options in an intuitive and user-friendly manner. The project demanded an innovative AI strategy that could integrate seamlessly with robust backend infrastructure within an aggressive launch timeline.
Implementing AI Classification
Classifying extensive dining options with precision.
Creating Dynamic and Static Lists to Serve Recommendations
Curating personalized dining lists from vast choices
Developing Tailored REST APIs
Integrating complex data streams into a user-friendly app interface.
Tech stack
Client impact
Enhanced User Engagement
Delivered an intelligent recommendation engine pivotal for the app's core functionality.
Expedited Go-to-Market
Supported Trofimo's accelerated market entry, aligning with their strategic business timelines.
Intelligent Feature Development
Provided a scalable framework to incorporate future enhancements and functionalities
Our partnership with Trofimo accelerated their app's development, enabling them to launch "Dynery" swiftly. Our team designed an AI-driven approach using a distilled version of Facebook's Bart model, which increased data classification speed tenfold, reducing the need for manual labeling. The zero-shot classification supported generating user-specific dining recommendations, and REST APIs were created for robust app integration. The project's rapid completion aligned with Trofimo's market launch objectives, allowing them to launch the MVP app within weeks of this project’s completion.
The Team
Other Client Successes
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Ready to discuss your software engineering needs with our team of experts?