restoq

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Inspiration

Working in the food industry showed us how fast-paced kitchens really are. During busy shifts, even small inventory issues can turn into big problems. Seeing how often teams scramble because an ingredient runs out highlights the need for a more supportive, behind-the-scenes solution where inventory management is seamlessly integrated into the platform operators rely on, helping them stay proactive rather than reactive. We wanted to create a user-friendly, easily accessible platform that doesn’t require technical expertise, allowing managers and operators to focus on running their restaurants rather than learning complex systems.

What it does

It allows individual chains of large scale restaurants a clear overview of their inventory management, cost, and stock usage. Operators can also connect directly with suppliers to order and communicate their needs.

How we built it

We implemented loveable.dev AI to give us a mock up of the website we had in mind. We then continued to add onto the website, creating additional tabs and applications to fix inefficient inventory management. We wanted to create a low code version of this website so we utilized lovable.dev to help create the frontend and backend code, with us supplementing it. We intentionally took a product management approach. We focused first on understanding the core user problems before deciding what features were essential versus optional.

Challenges we ran into

One obstacle we ran into was finding a way to design a system to scale for large restaurant chains rather than a single location. We needed a way to structure our data models in a way where it wouldn't be too overwhelming. Another challenge was building onto what was given to us. Since we used lovable.dev to make a foundation for our website, it was kind of hard to code new components and not mess up the API code. We managed to learn the basics of TypeScript and program the website how we wanted it.

Accomplishments that we're proud of

Creating a user friendly interface that doesn't require previous technical knowledge. We ensured that teams can quickly understand and use the platform without training or technical expertise.

What we learned

We learned how powerful AI-assisted and low-code tools can be when building full-stack applications quickly. We also gained a deeper understanding of system design, inventory workflows, and how to turn firsthand industry experience into a scalable technical solution.

What's next for restoq

We plan to add real-time analytics based on usage trends. We also want to expand supplier integrations to streamline ordering and reduce supply delays.