Project scope
Details
Client: TBC Wholesale
Role: UX/UI Designer
TEAM: Tiphanie Serrano & Eva Wojciechowicz
Duration: 2 weeks
Deliverables: UX Research, Wireframes, Prototyping, UI Design
tools: Figma + Figjam
Goals
client project: deliver a MVP for a visual search tool
USERS: help the luxury reseller identify and price their items with accuracy
The second-hand luxury market is booming, yet sellers and buyers often face challenges when assessing the true value and desirability of pre-owned items.
Luxury resellers face several pain points: identifying rare models, understanding real-time market prices, and finding accurate product demand. For The Brand Collector (TBC), our goal was to create a tool that solves these issues by giving resellers instant access to valuable data across multiple platforms.
Client & market overview
The Brand Collector
TBC Wholesale is a leading player in the luxury goods sector, specializing in both primary and secondary markets. The company sought to enhance its resale operations by addressing inefficiencies in product identification, pricing strategies, and market analysis.
Market analysis
The luxury resale market is booming, with an estimated growth rate of 12% annually. Consumers increasingly seek high-quality, pre-owned luxury goods, driving demand for efficient resale platforms.
Challenges
Fragmented data across multiple platforms
Difficulty in pricing accuracy
Assessing product desirability without comprehensive data
Opportunities
Consolidate product search and price comparison
Introduce data-driven desirability scoring
Provide a streamlined, intuitive user interface to enhance reseller efficiency
Research & insights
We conducted extensive interviews, surveys, and usability tests with existing users of TBC Wholesale to understand their pain points, preferences, and behaviors.
Our findings highlighted several key insights:
Global Reach with Local Nuances: Our research highlighted the global footprint of TBC Wholesale, with significant user clusters in the United States, India, and Bangladesh. Each market presented unique user behaviors and preferences, driving the need for a flexible, adaptable design that could seamlessly cater to varying regional requirements.
Mobile-First Approach: With over 80% of users accessing the platform via mobile devices, it became evident that a mobile-first design strategy was crucial. Our designs prioritized a responsive, intuitive mobile experience without sacrificing functionality or detail, ensuring users could efficiently perform tasks on the go.
Pricing and Market Trends: Users expressed difficulty in setting appropriate prices for second-hand luxury items due to fluctuating market trends. They needed a tool that could provide real-time data on market conditions and historical price trends.
Desirability Metrics: Users wanted to understand not just the price, but also the desirability of items. The tool needed to offer insights into search volumes and trending products to help users anticipate demand.
By leveraging these insights, we were able to define clear objectives for ResellRadar: to provide accurate pricing recommendations, visualize market trends, and enhance user decision-making through robust data insights.
Branding & design system
Inspired by values like effortless, premium, data-driven, straightforward, and expert, we developed a color palette centered around neutrals and a unique primary gold (#F1ECD8) to give ResellRadar a distinctive identity within The Brand Collector's website.
The logo plays on the ripply effect of the radar imagery, maintaining this idea of expanding and looking further, while keeping a premium and elegant feel.
UX strategy & design process
Our design process was guided by a user-centered approach, iterating through multiple rounds of prototyping and testing
1. Iterative Prototyping and Testing:
We started with low-fidelity wireframes to map out the core functionalities, including the search and filter options, visual search, price evolution graphs, and comparative analysis features. Through iterative testing with users, we refined these wireframes into high-fidelity prototypes, ensuring that every element was intuitive and aligned with user needs.
during testing, users found the initial filtering options too overwhelming. We streamlined the design by categorizing filters more intuitively and adding a progressive disclosure mechanism to prevent cognitive overload. This adjustment significantly improved the usability of the filtering feature, making it easier for users to narrow down their searches effectively.
2. Data-Driven Visualizations:
We leveraged clean, straightforward graphs and charts to present complex data in a digestible format. The design was iteratively refined based on user feedback, ensuring that each visualization was both informative and visually appealing.
Given the emphasis on data within ResellRadar, our design focused heavily on clear, concise data visualizations. The Price Evolution Graph was a key feature developed to help users track price changes over time, allowing them to identify trends and make informed decisions. Similarly, the Trending Products section provides users with a snapshot of the most popular items, helping them stay ahead of market demand.
3. Visual Search Innovation:
One of the standout features of ResellRadar is the Visual Search capability, which allows users to upload images of products and find similar items instantly. This feature was developed in response to user feedback indicating a need for a more intuitive search method, especially for users unfamiliar with specific product details.
during testing, users found the initial filtering options too overwhelming. We streamlined the design by categorizing filters more intuitively and adding a progressive disclosure mechanism to prevent cognitive overload. This adjustment significantly improved the usability of the filtering feature, making it easier for users to narrow down their searches effectively.
Data driven insights & features
Marketplace Integration for Holistic Pricing: Users can now access TBC Wholesale alongside external platforms like Vestiaire Collective and TheRealReal, simplifying pricing and availability checks across multiple channels.
Comparing item for precise market understanding: Resellers can bookmark items of interest and compare their various key attributes to understand what affect their price and price their own items correctly.
Dynamic Filtering System Inspired by Industry Standards: Borrowing from the familiar Vestiaire Collective model, the tool’s filtering system allows users to quickly narrow down results by brand, condition, and price for precision & confort in product searches.
Availability and Sold Product Data: Displaying both available and sold product data gives users a comprehensive market overview. This feature was designed to provide transparency and aid in pricing strategy development, making the difference between desired and real price selection.
Next steps & future development
Future Phases of the Project:
Desirability Score: Build a machine-learning-driven desirability score that predicts the likelihood of a product selling quickly based on past trends, rarity, and demand.
Beta Testing: We will continue beta testing with a select group of TBC resellers to refine the tool before a full-scale launch.
Improved Visual Search: Enhance the visual search capabilities by incorporating faster image recognition and ensuring it operates seamlessly across both desktop and mobile.
These steps will ensure that ResellRadar not only meets current market demands but also stays ahead of emerging trends in the luxury resale sector.
To sum up
With ResellRadar, we’ve created a tool tailored to the needs of luxury resellers, offering them powerful data insights and seamless integration with multiple marketplaces. By staying user-centered throughout the process, we’ve ensured that ResellRadar addresses real pain points and makes luxury reselling more efficient and profitable.