Restaurant & Food Discovery App

This is a submission for the Storyblok Challenge

What I Built

A sophisticated restaurant discovery and food ordering platform built with Storyblok, featuring rich restaurant profiles, AI-powered dining recommendations, and integrated ordering systems.

The platform connects food enthusiasts with local culinary experiences while supporting restaurant owners with comprehensive digital presence tools.

Demo

Storyblok Space:
https://app.storyblok.com/#!/me/spaces/012345

Code Repository:

https://github.com/foodtech/storyblok-restaurants

Demo Video or Screenshots

Restaurant Discovery Demo

Tech Stack

• Frontend: Vue.js 3, Nuxt 3, Quasar Framework
• CMS: Storyblok Headless CMS
• Maps: Mapbox, Google Places API
• Payments: Square, Stripe
• Delivery: Integration with DoorDash, Uber Eats APIs
• Deployment: Vercel
• Reviews: Custom rating system

How I Used Storyblok

• Restaurant Profiles: Created comprehensive restaurant pages with menus, photos, hours, and contact information
• Menu Management: Built flexible menu structures with categories, items, variations, and dietary information
• Chef Stories: Developed rich chef biographies and culinary philosophy content
• Event Listings: Managed restaurant events, specials, and seasonal offerings
• Review Management: Integrated customer review system with moderation workflows

AI Integration

Culinary AI features:

• Personalized restaurant recommendations based on dietary preferences, cuisine history, and location
• Intelligent menu suggestions considering allergies, dietary restrictions, and taste preferences
• Dynamic pricing recommendations for restaurants based on demand patterns and competitor analysis
• Food photography enhancement and menu item optimization suggestions
• Predictive inventory management helping restaurants reduce food waste

Learnings and Takeaways

Building this restaurant platform highlighted Storyblok's strength in managing rich, multimedia content while maintaining fast loading times essential for mobile food discovery.

The visual editor proved invaluable for restaurant owners who needed to update menus and promotions without technical expertise.

The AI integration created personalized dining experiences that respect individual preferences while supporting local businesses. I'm proud of developing features that help restaurants optimize their operations while enhancing customer satisfaction.

The challenge of integrating multiple delivery APIs taught me valuable lessons about service orchestration and maintaining consistent user experiences across different fulfillment methods.