UI / UX Design
Food Delivery App
TastyGo is a full-fledged food delivery app that brings users closer to their favourite eateries. The rest of the app has been catered to many useful things like easy menu browsing, live order tracker and secure payments with a taste for personal recommendations.
Year :
2024
Industry :
Resturant
Client :
Product Base
Project Duration :
12 weeks
Problem :
Users experience significant variability in delivery times due to lack of real-time synchronisation between restaurants and delivery partners.
Reviews on food delivery apps often lack context, such as whether the review is about the food quality, delivery speed, or customer service.
Users are unable to customize their orders to their liking due to limited options and a lack of flexibility in the app’s order system.
Users with specific dietary needs (e.g., gluten-free, vegan) struggle to find suitable food options due to inadequate filtering options in the app.
Solution :
Implement a dynamic scheduling system that integrates real-time data from both restaurants and delivery partners.
Introduce a contextual review system where users can rate and comment on specific aspects of their experience separately (e.g., food quality, delivery experience, service).
Create a more robust customization interface that allows users to modify their orders in detail, including ingredient changes, portion sizes, and special requests.
Develop an advanced dietary preferences filter that allows users to specify multiple dietary restrictions and preferences.
Low Fidelity Wireframes
Summary :
More Projects
UI / UX Design
Food Delivery App
TastyGo is a full-fledged food delivery app that brings users closer to their favourite eateries. The rest of the app has been catered to many useful things like easy menu browsing, live order tracker and secure payments with a taste for personal recommendations.
Year :
2024
Industry :
Resturant
Client :
Product Base
Project Duration :
12 weeks
Problem :
Users experience significant variability in delivery times due to lack of real-time synchronisation between restaurants and delivery partners.
Reviews on food delivery apps often lack context, such as whether the review is about the food quality, delivery speed, or customer service.
Users are unable to customize their orders to their liking due to limited options and a lack of flexibility in the app’s order system.
Users with specific dietary needs (e.g., gluten-free, vegan) struggle to find suitable food options due to inadequate filtering options in the app.
Solution :
Implement a dynamic scheduling system that integrates real-time data from both restaurants and delivery partners.
Introduce a contextual review system where users can rate and comment on specific aspects of their experience separately (e.g., food quality, delivery experience, service).
Create a more robust customization interface that allows users to modify their orders in detail, including ingredient changes, portion sizes, and special requests.
Develop an advanced dietary preferences filter that allows users to specify multiple dietary restrictions and preferences.
Low Fidelity Wireframes
Summary :
More Projects
UI / UX Design
Food Delivery App
TastyGo is a full-fledged food delivery app that brings users closer to their favourite eateries. The rest of the app has been catered to many useful things like easy menu browsing, live order tracker and secure payments with a taste for personal recommendations.
Year :
2024
Industry :
Resturant
Client :
Product Base
Project Duration :
12 weeks
Problem :
Users experience significant variability in delivery times due to lack of real-time synchronisation between restaurants and delivery partners.
Reviews on food delivery apps often lack context, such as whether the review is about the food quality, delivery speed, or customer service.
Users are unable to customize their orders to their liking due to limited options and a lack of flexibility in the app’s order system.
Users with specific dietary needs (e.g., gluten-free, vegan) struggle to find suitable food options due to inadequate filtering options in the app.
Solution :
Implement a dynamic scheduling system that integrates real-time data from both restaurants and delivery partners.
Introduce a contextual review system where users can rate and comment on specific aspects of their experience separately (e.g., food quality, delivery experience, service).
Create a more robust customization interface that allows users to modify their orders in detail, including ingredient changes, portion sizes, and special requests.
Develop an advanced dietary preferences filter that allows users to specify multiple dietary restrictions and preferences.
Low Fidelity Wireframes
Summary :