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Oya

Oya

Food Delivery Restaurant E-Commerce

Oya is a food-ordering and restaurant-discovery product for African markets. The application aggregates restaurants and food outlets while allowing users to book tables for an in-house dining experience. The represented experience connects food discovery, ordering and restaurant operations.

Oya App Preview
Food
Restaurants
Order workflows
Local
Discovery
Book
Table booking

Technologies Used

Built with cutting-edge technologies for optimal performance

UI/UX

UI/UX Design

Figma, Adobe XD

Frontend

Frontend

React Native, Flutter

Backend

Backend

Node.js, MongoDB

Admin

Admin Panel

React, Redux

App Screenshots

Explore the beautiful interface and user experience

Oya Screenshot 1
Oya Screenshot 2
Oya Screenshot 3
Oya Screenshot 4
Oya Screenshot 5

The Challenge

The main challenge was to create a platform that could handle the unique demands of the African market, including diverse payment options, varying connectivity conditions, and the need to aggregate multiple restaurant partners while maintaining a seamless user experience.

The Solution

Our team built an enterprise-level application with a scalable framework that supports multiple payment methods, offline capabilities, and an intuitive interface. The platform enables both food delivery and table booking, creating a comprehensive dining experience solution.

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What the Oya work demonstrates.

Diners, restaurant customers and food-service teams. Restaurant discovery, food ordering and table-booking interfaces.

  1. Find a restaurant
  2. Choose food
  3. Place an order
  4. Or book a table

Represented scope

Restaurant discovery, food ordering and table-booking interfaces. The case-study screens and feature explanations describe the represented product areas.

The decision behind the workflow

Food delivery and dining-in are different customer choices within the represented experience.

Qualitative outcome

The represented interface brings these tasks into a connected product journey. This is a description of the software experience, not a measured increase in customers, revenue or efficiency.

Evidence: the original project screens and feature descriptions on this page. Public availability, delivery dates and measured business results are not established by interface screenshots. Approximate delivery period: not confirmed for publication. Technology and integration descriptions refer to the represented project, not guaranteed support in every new scope.

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