The Challenge
Joined LuxMax, a UK-based luxury e-commerce platform, to revolutionize their repair service experience. The existing process required users to complete lengthy forms and ship items before knowing repair costs, creating friction in the customer journey.
The Innovation: Transformed the repair submission process through AI and image processing:
- Automated product identification
- Visual damage assessment
- Instant cost estimation
Users simply needed to photograph their luxury items for the system to identify:
- Brand authentication
- Product details (category, material, size)
- Damage assessment
- Repair cost estimation
This shift from manual form-filling to AI-powered visual recognition streamlined the repair service while maintaining the platform's luxury market positioning."
Untangling Complex Flows: Beyond the Happy Path
When I joined LuxMax, I encountered a design foundation that, while extensive, needed crucial refinements. The existing design covered 60% of the product but missed critical user scenarios and service complexities.
Key Challenges Identified:
The Identity Crisis:
The product identification process was narrowly viewed as part of repair services, when in reality it served multiple crucial flows:
- Standard repair service
- Sell after repair
- Instant selling
- Direct marketplace listing
Beyond the Happy Path:
The existing AI identification flow assumed perfect scenarios, missing critical edge cases:
- Partial product detection
- Failed identification
- Ambiguous results
Brand Complexity:
Each luxury brand brought unique challenges:
- Custom size charts
- Proprietary material naming
- Brand-specific color systems
- Authentication requirements
Service Scope Challenge:
The client wanted simultaneous release of five distinct services:
- E-commerce platform
- Repair services
- Repair-and-sell pathway
- Instant purchase program
- Direct selling marketplace
This complexity required a systematic approach to:
- Clarify user journeys
- Handle edge cases
- Maintain luxury standards
- Create cohesive experiences
Bringing Order to Complexity: A Three-Step Approach
Step 1: Strategic Scoping Working alongside the tech lead, I took on a product management role to bring clarity to our roadmap:
- Prioritized features based on technical feasibility
- Established realistic release schedules
- Aligned client expectations with development capacity
- Created clear milestone definitions
Step 2: Design Task Management Structured the design workflow across sprints:
- Mapped design dependencies
- Allocated resources effectively
- Set clear deliverable timelines
- Established design review processes
Step 3: Identification Process Enhancement Tackled the core identification flow:
- Mapped all possible user scenarios
- Developed edge case solutions
- Created failure recovery paths
- Enhanced user feedback systems
Identification Process: From Gaps to Solutions
The existing identification process, while innovative, had several critical gaps that affected user trust and efficiency. Here's how we tackled each challenge:
Edge Case Management:
- Developed partial recognition flows
- Created manual fallback options
- Built confidence indicators for AI results
- Designed clear user guidance paths
Category Intelligence: We implemented smart forms that adapted to:
- Shoe-specific measurements
- Bag-specific features
- Dress-specific details
Brand-Specific Logic: Created dynamic forms reflecting:
- Brand size standards
- Material terminology
- Color naming conventions
Trust Building Elements:
- Added final confirmation steps
- Implemented clear cost breakdowns
- Developed transparent pricing models
- Created problem-specific cost estimates
Problem Classification:
- Category-specific issue lists
- Common problem quick-select
- Custom problem description options
- Visual problem indicators
User Guidance:
- Strategic alert placement
- Important information highlighting
- Step-by-step validation
- Clear selling alternatives
Design in Action: Key Interface Examples
