Figr provides a Customer Decision Operating System designed to replicate in-store guidance within e-commerce storefronts. This platform offers shoppers visual product fit and personalized style recommendations to reduce hesitation and increase purchase confidence. By capturing shopper context across the journey, Figr drives higher engagement, larger baskets, and more relevant post-session retargeting.
Funding
Funding not disclosed
Founders
Product
Problem
Online fashion and beauty retailers face challenges in accurately representing product fit and appearance to customers, leading to high return rates and missed conversion opportunities. Existing e-commerce platforms often lack the personalization needed to replicate the in-store shopping experience, resulting in fragmented customer journeys and reduced engagement.
Solution
Figr provides an AI-powered customer experience platform designed to enhance online retail operations for fashion and beauty brands. The platform integrates with existing e-commerce workflows to offer virtual try-on capabilities through digital twins, enabling shoppers to visualize products on themselves. It also delivers predictive sizing recommendations and personalized product curation, aiming to increase conversion rates and decrease product returns. Furthermore, Figr's data analytics engine provides actionable insights into customer preferences and demand forecasting, empowering brands to optimize inventory and marketing strategies.
Target Audience
The platform targets fashion, beauty, footwear, activewear, and luxury Direct-to-Consumer (DTC) brands, as well as marketplaces and retail tech companies seeking to elevate their online customer experience.
Features
- **figrForm™**: Generates digital twins of shoppers for virtual product try-ons, enhancing visualization and reducing purchase hesitation.
- **figrFit™**: Utilizes AI to provide predictive sizing and fit scoring, offering personalized recommendations to improve customer confidence and reduce returns.
- **Personalized PDPs & Lookbooks**: Dynamically sorts product displays and generates individualized lookbooks based on shopper data, skin tone, body shape, and style preferences.
- **UGC Creation & Twin-Powered Ads**: Enables customers to generate editorial-quality images of themselves in products and transforms standard advertisements into personalized, shoppable experiences featuring customer digital twins.
- **figrFuel™**: An analytics engine that provides customer heatmaps, predictive SKU forecasting, and AI-powered collection building based on real shopper data and demand trends.
- **Influencer Integration**: Allows customers to explore and shop influencer-curated outfits directly on their digital twins.
- **E-commerce Platform Integration**: Designed to work with existing e-commerce platforms and applications to maximize current workflows.