
Styleriser
Strikingly better suggestions via StyleIQ

Description
Styleriser provides an advanced AI solution designed to enhance online retail personalization through appearance-based recommendations. Functioning as an intelligent layer for existing personalization engines, it leverages StyleIQ technology to deliver highly relevant product suggestions. The system specializes in analyzing user appearance, including facial features for eyewear recommendations and complexion for targeted suggestions, aiming to replicate the nuanced understanding of an in-store shopping assistant.
Developed with insights from image consulting and over a decade of shopping assistance experience, Styleriser addresses the challenge of impersonal digital shopping. It helps online retailers, particularly in sectors like eyewear, overcome difficulties in presenting relevant products to first-time customers. By creating detailed user style profiles based on visual attributes, it facilitates appearance-driven discovery, declutters the buyer journey, and aims to provide a unique, engaging user experience that drives conversions.
Key Features
- StyleIQ Suggestions: Delivers highly relevant, AI-powered recommendations.
- Appearance-driven Suggestions: Core feature providing recommendations based on user's looks.
- Facial Analysis for Eyewear: Analyzes facial features to suggest suitable eyewear.
- Appearance-driven Discovery: Enables users to find products based on visual compatibility.
- Digital Shopping Assistant: Mimics in-person assistance for online shoppers.
- User Style Profile Creation: Builds profiles based on visual characteristics.
- Targeting based on Facial Complexion: Allows for suggestions tailored to user's complexion.
Use Cases
- Enhancing e-commerce personalization engines.
- Improving product discovery in online fashion retail.
- Providing personalized eyewear recommendations.
- Offering digital shopping assistance.
- Creating unique user experiences based on appearance.
- Targeting customers based on visual attributes like complexion.
- Reducing choice overload for online shoppers.
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