UI / UX Design
HORIZON AUTO
From AI-driven recommendations to seamless car browsing, Horizon Auto is a luxury marketplace designed for modern buyers. The platform connects people with premium vehicles through smart search, intuitive flows, and a refined user interface. Built to inspire trust, it blends technology with automotive passion.
Year :
2023
Industry :
E-commerce
Client :
Horizon Auto
Project Duration :
1 Year
Problem :
The car buying and selling process is often fragmented, opaque, and vulnerable to inaccuracies and fraud. Enthusiasts struggle to:
Accurately determine a car’s market value.
Identify and prevent fraud in listings and sales.
Match buyers and sellers based on enthusiast-specific preferences (e.g., trim, mods, rarity, performance metrics).
Set optimal price points for quick sales without undervaluing.
Predict demand trends for specific models or configurations.
Traditional platforms offer limited tools for enthusiasts, often focusing on generic data without the nuanced context car experts care about. Horizon Auto’s mission was to solve this by leveraging cutting-edge data science, machine learning, and community insights.
Solution :
UX Flow Development
Although the backend data engine was already being developed, I designed the user experience flow to make these complex insights accessible and actionable:
Onboarding & Preference Setup — Users specify their interests (brands, trims, performance specs) to personalize insights.
Search & Intelligent Filtering — Advanced filters mimic enthusiast thought processes, allowing granular search (e.g., “V8 manual, under 80k miles, 1 of <200 produced”).
Car Profiles with Predictive Data — Detailed listings show market valuation curves, demand projections, rarity scores, and fraud checks.
Comparison Dashboard — Users can compare multiple vehicles across price history, demand forecasts, and enthusiast-relevant attributes.
Saved Insights & Alerts — Personalized notifications for price drops, demand spikes, or new listings matching custom filters.
I created a data-rich yet clean interface that balances enthusiast depth with usability:Modern data-driven UI with modular cards, clean typography, and dynamic data visualizations for valuations and predictions.
Dark theme design system to match enthusiast aesthetics and provide a focused, high-contrast environment for data interpretation.
Responsive layouts ensuring power users can explore comfortably on desktop while still functional on mobile.
Advanced filtering UI that feels intuitive, using chips, sliders, and tag-based logic to mimic the way enthusiasts naturally narrow their search.
Interactive graphs for pricing trends, demand forecasts, and rarity — built to feel like analytical tools, not just static pages.
Deliverables included:
High-fidelity responsive prototypes
Design system & component library
Data visualization guidelines
UI kit for development handoff
Challenge :
Complex Data Visualization: Translating dense analytical data (valuation curves, predictions) into intuitive visuals without overwhelming users.
Niche Enthusiast Expectations: Enthusiasts have deep knowledge — the UI had to feel authentic and powerful, not generic.
Performance vs. Detail: Maintaining fast loading times while presenting large amounts of structured data.
Advanced Filtering UX: Designing filters that allow deep customization without intimidating casual users.
Summary :
User engagement increased, with longer session durations due to interactive data tools and personalized filtering.
Platform trust improved thanks to clear fraud indicators and transparent pricing insights.
Enthusiasts praised the platform’s ability to “think like they do,” making Horizon Auto stand out from generic automotive listing sites.
The design system provided a scalable foundation, allowing developers to integrate complex data tools without UI inconsistencies.
The Horizon Auto platform redefines how car enthusiasts interact with data — turning raw information into meaningful, actionable insights. By blending powerful analytics with enthusiast-centric UX/UI, the platform creates a unique space where users can explore, compare, and predict like professionals, all through a clean and intuitive interface.
More Projects
UI / UX Design
HORIZON AUTO
From AI-driven recommendations to seamless car browsing, Horizon Auto is a luxury marketplace designed for modern buyers. The platform connects people with premium vehicles through smart search, intuitive flows, and a refined user interface. Built to inspire trust, it blends technology with automotive passion.
Year :
2023
Industry :
E-commerce
Client :
Horizon Auto
Project Duration :
1 Year
Problem :
The car buying and selling process is often fragmented, opaque, and vulnerable to inaccuracies and fraud. Enthusiasts struggle to:
Accurately determine a car’s market value.
Identify and prevent fraud in listings and sales.
Match buyers and sellers based on enthusiast-specific preferences (e.g., trim, mods, rarity, performance metrics).
Set optimal price points for quick sales without undervaluing.
Predict demand trends for specific models or configurations.
Traditional platforms offer limited tools for enthusiasts, often focusing on generic data without the nuanced context car experts care about. Horizon Auto’s mission was to solve this by leveraging cutting-edge data science, machine learning, and community insights.
Solution :
UX Flow Development
Although the backend data engine was already being developed, I designed the user experience flow to make these complex insights accessible and actionable:
Onboarding & Preference Setup — Users specify their interests (brands, trims, performance specs) to personalize insights.
Search & Intelligent Filtering — Advanced filters mimic enthusiast thought processes, allowing granular search (e.g., “V8 manual, under 80k miles, 1 of <200 produced”).
Car Profiles with Predictive Data — Detailed listings show market valuation curves, demand projections, rarity scores, and fraud checks.
Comparison Dashboard — Users can compare multiple vehicles across price history, demand forecasts, and enthusiast-relevant attributes.
Saved Insights & Alerts — Personalized notifications for price drops, demand spikes, or new listings matching custom filters.
I created a data-rich yet clean interface that balances enthusiast depth with usability:Modern data-driven UI with modular cards, clean typography, and dynamic data visualizations for valuations and predictions.
Dark theme design system to match enthusiast aesthetics and provide a focused, high-contrast environment for data interpretation.
Responsive layouts ensuring power users can explore comfortably on desktop while still functional on mobile.
Advanced filtering UI that feels intuitive, using chips, sliders, and tag-based logic to mimic the way enthusiasts naturally narrow their search.
Interactive graphs for pricing trends, demand forecasts, and rarity — built to feel like analytical tools, not just static pages.
Deliverables included:
High-fidelity responsive prototypes
Design system & component library
Data visualization guidelines
UI kit for development handoff
Challenge :
Complex Data Visualization: Translating dense analytical data (valuation curves, predictions) into intuitive visuals without overwhelming users.
Niche Enthusiast Expectations: Enthusiasts have deep knowledge — the UI had to feel authentic and powerful, not generic.
Performance vs. Detail: Maintaining fast loading times while presenting large amounts of structured data.
Advanced Filtering UX: Designing filters that allow deep customization without intimidating casual users.
Summary :
User engagement increased, with longer session durations due to interactive data tools and personalized filtering.
Platform trust improved thanks to clear fraud indicators and transparent pricing insights.
Enthusiasts praised the platform’s ability to “think like they do,” making Horizon Auto stand out from generic automotive listing sites.
The design system provided a scalable foundation, allowing developers to integrate complex data tools without UI inconsistencies.
The Horizon Auto platform redefines how car enthusiasts interact with data — turning raw information into meaningful, actionable insights. By blending powerful analytics with enthusiast-centric UX/UI, the platform creates a unique space where users can explore, compare, and predict like professionals, all through a clean and intuitive interface.
More Projects
UI / UX Design
HORIZON AUTO
From AI-driven recommendations to seamless car browsing, Horizon Auto is a luxury marketplace designed for modern buyers. The platform connects people with premium vehicles through smart search, intuitive flows, and a refined user interface. Built to inspire trust, it blends technology with automotive passion.
Year :
2023
Industry :
E-commerce
Client :
Horizon Auto
Project Duration :
1 Year
Problem :
The car buying and selling process is often fragmented, opaque, and vulnerable to inaccuracies and fraud. Enthusiasts struggle to:
Accurately determine a car’s market value.
Identify and prevent fraud in listings and sales.
Match buyers and sellers based on enthusiast-specific preferences (e.g., trim, mods, rarity, performance metrics).
Set optimal price points for quick sales without undervaluing.
Predict demand trends for specific models or configurations.
Traditional platforms offer limited tools for enthusiasts, often focusing on generic data without the nuanced context car experts care about. Horizon Auto’s mission was to solve this by leveraging cutting-edge data science, machine learning, and community insights.
Solution :
UX Flow Development
Although the backend data engine was already being developed, I designed the user experience flow to make these complex insights accessible and actionable:
Onboarding & Preference Setup — Users specify their interests (brands, trims, performance specs) to personalize insights.
Search & Intelligent Filtering — Advanced filters mimic enthusiast thought processes, allowing granular search (e.g., “V8 manual, under 80k miles, 1 of <200 produced”).
Car Profiles with Predictive Data — Detailed listings show market valuation curves, demand projections, rarity scores, and fraud checks.
Comparison Dashboard — Users can compare multiple vehicles across price history, demand forecasts, and enthusiast-relevant attributes.
Saved Insights & Alerts — Personalized notifications for price drops, demand spikes, or new listings matching custom filters.
I created a data-rich yet clean interface that balances enthusiast depth with usability:Modern data-driven UI with modular cards, clean typography, and dynamic data visualizations for valuations and predictions.
Dark theme design system to match enthusiast aesthetics and provide a focused, high-contrast environment for data interpretation.
Responsive layouts ensuring power users can explore comfortably on desktop while still functional on mobile.
Advanced filtering UI that feels intuitive, using chips, sliders, and tag-based logic to mimic the way enthusiasts naturally narrow their search.
Interactive graphs for pricing trends, demand forecasts, and rarity — built to feel like analytical tools, not just static pages.
Deliverables included:
High-fidelity responsive prototypes
Design system & component library
Data visualization guidelines
UI kit for development handoff
Challenge :
Complex Data Visualization: Translating dense analytical data (valuation curves, predictions) into intuitive visuals without overwhelming users.
Niche Enthusiast Expectations: Enthusiasts have deep knowledge — the UI had to feel authentic and powerful, not generic.
Performance vs. Detail: Maintaining fast loading times while presenting large amounts of structured data.
Advanced Filtering UX: Designing filters that allow deep customization without intimidating casual users.
Summary :
User engagement increased, with longer session durations due to interactive data tools and personalized filtering.
Platform trust improved thanks to clear fraud indicators and transparent pricing insights.
Enthusiasts praised the platform’s ability to “think like they do,” making Horizon Auto stand out from generic automotive listing sites.
The design system provided a scalable foundation, allowing developers to integrate complex data tools without UI inconsistencies.
The Horizon Auto platform redefines how car enthusiasts interact with data — turning raw information into meaningful, actionable insights. By blending powerful analytics with enthusiast-centric UX/UI, the platform creates a unique space where users can explore, compare, and predict like professionals, all through a clean and intuitive interface.