CASE STUDY
Dinery - AI-Powered Dining Experience Platform
For Foodie Ventures
We developed "Dinery," a mobile-first Progressive Web App (PWA) that redefines how users capture, analyze, and share their dining experiences through AI-powered receipt processing and social features.
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Client
Leading Food Tech Startup
Industry
Social Networking / Food Tech
Duration
3 Months (Concept to Production)
Services
Technologies Used
Project Overview
We developed "Dinery," a mobile-first Progressive Web App (PWA) that redefines how users capture, analyze, and share their dining experiences through AI-powered receipt processing and social features.
Development Timeline
Our structured approach to delivering this complex project
Phase 1: Discovery & Prototyping
Defined core user flows and designed a low-friction UI in Figma.
Phase 1: Discovery & Prototyping
Defined core user flows and designed a low-friction UI in Figma.
Phase 2: Core Development & AI Integration
Built the Next.js PWA, Firebase backend, and the Genkit AI receipt scanning flow.
Phase 2: Core Development & AI Integration
Built the Next.js PWA, Firebase backend, and the Genkit AI receipt scanning flow.
Phase 3: Social Features & Testing
Developed the QR sharing, public/private feeds, and conducted user acceptance testing.
Phase 3: Social Features & Testing
Developed the QR sharing, public/private feeds, and conducted user acceptance testing.
System Architecture
A serverless, mobile-first architecture designed for rapid scalability and low operational overhead, perfect for a consumer-facing social application.
Technical Stack Overview
Frontend (PWA)
A fully responsive and installable web app built with Next.js for a seamless, native-like user experience.
Backend Services
Firebase handles all core backend needs including authentication, database, and file storage, providing real-time data sync.
AI & Data Processing
Google's Genkit provides the serverless infrastructure for our AI flows, using Gemini models for OCR and data extraction.
Architecture Diagram
The Challenge: Overcoming Friction in Social Dining
The social dining app market is saturated with complex review systems. Our client needed a tool that was fast, fun, and solved real user problems like tedious expense logging and sharing recommendations easily with friends.
High user drop-off from tedious manual receipt entry.
5-star rating systems felt too formal and time-consuming for casual dining.
Difficulty in splitting opinions and experiences within a group after a meal.
Lack of a single, private log for personal dining history and wishlists.
Our Solution: An Instant, AI-Driven Dining Companion
1Discovery & Strategy
Our research confirmed that speed and simplicity were key. We designed a workflow centered around a single action: taking a photo of a receipt. This became the entry point for all other features.
2Development & Implementation
We built a PWA using Next.js for a native-like feel. The core feature is an AI flow using Google's Genkit and Gemini 1.5 Flash to instantly parse receipt data. We replaced complex ratings with a simple "Go" or "Don't Go" and built a seamless QR-based sharing mechanism for groups.
3Key Features & Capabilities
AI Receipt Extraction with 92% accuracy from a single photo.
Binary "Go / Don't Go" rating system for rapid feedback.
Instant QR Code generation for sharing a bill with fellow diners.
Secure, private dining log ("My Dinery") alongside a public discovery feed.
Passwordless Firebase authentication for frictionless sign-on.
Project Showcase
Explore the visual journey of our development process and the final product
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Revolutionizing Dining Logs with Speed and Simplicity
The numbers speak for themselves. Here's the measurable impact we delivered for our client.
< 10 Seconds
Average time to log a meal
From photo snap to successful log, powered by AI automation.
300%
Higher Engagement than traditional rating apps
The binary "Go/Don't Go" system proved to be faster and more engaging for users.
92%
AI Extraction Accuracy
Reduced manual corrections to a minimum, ensuring a smooth user experience.
These results demonstrate our commitment to delivering measurable business value through innovative technology solutions.
Client Testimonial
Hear directly from our client about their experience and the impact of our solution
"InBenne Technologies perfectly captured our vision. The AI receipt scanning is magical and has become the core feature our users rave about. Their technical execution was flawless."
Alex Chen
Product Manager, Foodie Ventures
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