Swift Coffee

Swift Coffee

I designed an intuitive and visually appealing app interface that enhances user experience by providing easy access to personalized coffee recommendations. I integrated AI-driven features to tailor coffee suggestions based on user preferences and past orders, ensuring a customized experience. Through thoughtful design iterations and testing, I created a seamless ordering flow that combines convenience with a unique, engaging user experience.

Client

Swift Coffee

Year

2024

Category

Coffee Delivery

ProjECT fILE

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Research

Research

For Swift Coffee, research focused on personalizing the user experience through AI-driven coffee recommendations based on individual preferences. The app also features real-time tracking and seamless integration with local coffee shops for efficient delivery. Extensive design and usability studies ensured the app is intuitive, visually appealing, and user-friendly, offering a unique coffee ordering experience.

For Swift Coffee, research focused on personalizing the user experience through AI-driven coffee recommendations based on individual preferences. The app also features real-time tracking and seamless integration with local coffee shops for efficient delivery. Extensive design and usability studies ensured the app is intuitive, visually appealing, and user-friendly, offering a unique coffee ordering experience.

Research

For Swift Coffee, research focused on personalizing the user experience through AI-driven coffee recommendations based on individual preferences. The app also features real-time tracking and seamless integration with local coffee shops for efficient delivery. Extensive design and usability studies ensured the app is intuitive, visually appealing, and user-friendly, offering a unique coffee ordering experience.

Design

Design

The app’s design combines simplicity with functionality, providing an intuitive, user-friendly interface. Focused on clean navigation, it allows users to easily explore their preferences, view personalized recommendations, and place orders in just a few taps. The color scheme uses warm tones and soft neutrals to evoke the inviting atmosphere of a coffee shop, while clear icons and intuitive design elements enhance usability. I paid special attention to ensuring the app is optimized for both quick orders and a smooth, enjoyable browsing experience.

The app’s design combines simplicity with functionality, providing an intuitive, user-friendly interface. Focused on clean navigation, it allows users to easily explore their preferences, view personalized recommendations, and place orders in just a few taps. The color scheme uses warm tones and soft neutrals to evoke the inviting atmosphere of a coffee shop, while clear icons and intuitive design elements enhance usability. I paid special attention to ensuring the app is optimized for both quick orders and a smooth, enjoyable browsing experience.

Design

The app’s design combines simplicity with functionality, providing an intuitive, user-friendly interface. Focused on clean navigation, it allows users to easily explore their preferences, view personalized recommendations, and place orders in just a few taps. The color scheme uses warm tones and soft neutrals to evoke the inviting atmosphere of a coffee shop, while clear icons and intuitive design elements enhance usability. I paid special attention to ensuring the app is optimized for both quick orders and a smooth, enjoyable browsing experience.

Development

Development

For the app’s development, I implemented a powerful AI engine that learns from user data to predict coffee preferences accurately. This system constantly improves, providing more accurate and tailored suggestions as users continue to engage with the app. The app was built with speed and reliability in mind, ensuring that the order process is as seamless as possible, with real-time updates and an efficient checkout flow. I also focused on integration with local coffee vendors, ensuring a wide range of coffee choices while maintaining ease of access and fast delivery times.

For the app’s development, I implemented a powerful AI engine that learns from user data to predict coffee preferences accurately. This system constantly improves, providing more accurate and tailored suggestions as users continue to engage with the app. The app was built with speed and reliability in mind, ensuring that the order process is as seamless as possible, with real-time updates and an efficient checkout flow. I also focused on integration with local coffee vendors, ensuring a wide range of coffee choices while maintaining ease of access and fast delivery times.

Development

For the app’s development, I implemented a powerful AI engine that learns from user data to predict coffee preferences accurately. This system constantly improves, providing more accurate and tailored suggestions as users continue to engage with the app. The app was built with speed and reliability in mind, ensuring that the order process is as seamless as possible, with real-time updates and an efficient checkout flow. I also focused on integration with local coffee vendors, ensuring a wide range of coffee choices while maintaining ease of access and fast delivery times.

Concept

Concept

Swift Coffee uses AI to personalize coffee orders based on user preferences, past orders, and taste profiles. It offers tailored suggestions by considering factors like flavor, caffeine level, and seasonal trends, providing a curated coffee experience that feels custom-made for each user.

Swift Coffee uses AI to personalize coffee orders based on user preferences, past orders, and taste profiles. It offers tailored suggestions by considering factors like flavor, caffeine level, and seasonal trends, providing a curated coffee experience that feels custom-made for each user.

Concept

Swift Coffee uses AI to personalize coffee orders based on user preferences, past orders, and taste profiles. It offers tailored suggestions by considering factors like flavor, caffeine level, and seasonal trends, providing a curated coffee experience that feels custom-made for each user.

©2025 SELLIDON DESIGN

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©2025 SELLIDON DESIGN

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©2025 SELLIDON DESIGN

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©2025 SELLIDON DESIGN

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