The client wanted a solution that could:
The client needed a highly responsive dining discovery platform capable of delivering personalised recommendations while maintaining performance across multiple devices and network conditions.
SynergyTop developed a scalable Progressive Web Application (PWA) that combines personalised search, responsive design, and secure cloud infrastructure.
The solution included:
| Steps | Process Details | Deliverable |
|---|---|---|
| Progressive Web Application Development | Built a high-performance PWA that enables users to access key platform features even in areas with limited internet connectivity. | Result: Reliable access across varying network conditions. |
| Personalised Restaurant Discovery | Developed advanced search functionality that recommends restaurants and menu items based on dietary preferences, allergens, ingredients, nutrients, and lifestyle choices such as vegan, vegetarian, or gluten-free diets. | Result: Faster, more relevant dining recommendations for every user. |
| Responsive UI/UX Design | Designed a clean, Bootstrap-based interface that delivers a seamless experience across desktop, tablet, and mobile devices with intuitive navigation. | Result: Improved usability and faster restaurant discovery. |
| Cloud Infrastructure & Membership Management | Deployed the platform on Microsoft Azure PaaS while implementing secure subscriber-only access and scalable infrastructure to support future growth. | Result: A secure, reliable platform built for increasing user demand. |
Advanced filtering helps users quickly discover restaurants that meet their nutritional and dietary preferences.
Offline-ready capabilities provide reliable access in low-connectivity environments.
A mobile-first interface delivers consistent performance across all devices.
Subscriber-only access protects premium content while supporting recurring revenue
Microsoft Azure provides scalability, reliability, and enterprise-grade security.
The platform helped restaurants enhance the overall customer experience by up to 41% through personalised dining recommendations.
The scalable architecture supports increased traffic and contributed to conversion improvements of up to 30%.
Personalised recommendations reduce dining decision time by up to 24 minutes.
Users enjoy a consistent experience across web, tablet, and mobile devices, even with limited internet connectivity.
Cloud deployment and PWA capabilities position the platform for long-term growth and increased user adoption.
| Aspect | Before Solution | After Solution |
|---|---|---|
| Restaurant Discovery | Manual menu research | Personalised restaurant recommendations |
| User Experience | Complex navigation | Clean, intuitive interface |
| Connectivity | Internet-dependent experience | PWA with low-connectivity support |
| Device Compatibility | Limited optimisation | Responsive across all devices |
| Membership Access | No secure subscriber management | Secure paid membership system |
| Platform Scalability | Limited growth capability | Cloud-native Azure infrastructure |
Python (Flask)
AngularJS, Jinja, Bootstrap
MySQL
Microsoft Azure PaaS