Revia: Circular Intelligence for Apparel E-Commerce
Product | Marketing | B2B2C Recommendation Algorithm
Product Strategy
Product Management
Product Design
User Research
UX Testing
Data Science
AI / ML
AI Prototyping
Recommendation Algorithm
Product
Intelligence Layer
Role
Founding Product
Designer / Manager
Time Duration
6 Weeks
Description
Revia is a B2B SaaS circular intelligence platform that connects purchase and returns data for apparel retailers. It creates a cross-brand representation of customers to reveal their true size, fit, and style preferences.
Problem Statement
Shoppers are unable to find products on the website as the recommendations do not show products based on their true preferences which results in churn and low conversions for the brand.
Problem Statement
Research Insights
Fragmented Data Systems
>>
Design
Implication
Data systems largely terminate at the point of delivery. Information about product returns is disconnected from upstream enterprise systems, limiting its integration into product design, demand planning, quality management, and downstream customer facing recommendations.
Current Recommendation Algorithms
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Design
Implication
Brands market their products to customers using data points derived from clickstream, IP and in more advanced cases, purchasing history.
Need for Agentic Commerce
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Design
Implication
Usability Testing
Conducted A/B Testing with 15 participants.
51%
Top 20
2x
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