Inspiration
Many small and medium-sized restaurants still manage delivery orders manually. Orders come from different channels such as websites, phone calls, WhatsApp, and social media, forcing staff to copy information into internal systems. This process is slow, error-prone, and becomes difficult to scale during busy hours.
We wanted to build an AI-powered platform that reduces repetitive work and allows restaurant staff to focus on preparing and delivering food instead of manually processing orders.
What it does
Delivo.cloud is an AI-powered order management platform for restaurants that offer food delivery.
The platform centralizes customer orders, delivery information, and restaurant operations in a single dashboard. AI helps restaurants automate customer communication, understand natural language requests, validate delivery information, and generate operational insights.
Our goal is to make AI a practical assistant for restaurants rather than another chatbot.
How we built it
The backend is built with Laravel, while the frontend uses Next.js. PostgreSQL is used for persistent storage, Redis handles queues and caching, and the entire application is containerized with Docker.
OpenAI models power the intelligent features, including:
Natural language order parsing AI customer support Menu recommendations Automatic order summaries Restaurant analytics
The platform is designed with a modular architecture so additional AI agents can easily be added in the future.
Challenges we ran into
One of the biggest challenges was converting free-form customer messages into structured orders while keeping the experience reliable.
Another challenge was designing AI workflows that reduce restaurant workload without requiring staff to constantly verify AI responses. We focused on creating predictable, production-ready AI interactions instead of simple chat responses.
Accomplishments that we're proud of
We are proud of building a practical AI solution that solves real operational problems for restaurants instead of creating another standalone chatbot.
Some of our biggest accomplishments include:
Building an AI-powered system that converts natural language customer requests into structured delivery orders. Designing a scalable architecture based on Laravel, Next.js, PostgreSQL, Redis, and Docker that is ready for production use. Integrating OpenAI models to automate customer support, order processing, and restaurant operations. Creating a platform that can easily be extended with additional AI agents and automation workflows. Focusing on reliability by combining AI with structured validation, ensuring restaurants can trust the generated results.
Most importantly, we're proud that Delivo.cloud demonstrates how AI can become an everyday assistant for small and medium-sized restaurants, helping them save time, reduce manual work, and improve customer service.
What we learned
This project showed us that AI creates the most value when it integrates directly into existing business workflows.
We also learned that prompt design, structured outputs, and validation are essential for building reliable AI applications in real business environments.
What's next for Delivo Cloud
Our roadmap includes:
Voice ordering with AI AI phone assistant Delivery route optimization Sales forecasting Automatic marketing campaigns Inventory predictions AI-powered business insights for restaurant owners
We believe AI can become an everyday operational assistant for restaurants, helping them deliver faster, reduce costs, and improve customer satisfaction.
Log in or sign up for Devpost to join the conversation.