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Case Study

StyledGenie

StyledGenie, an AI-powered personal styling platform, revolutionizes fashion recommendations by delivering curated outfit suggestions tailored to individual preferences.
Technology

Technology -

NextJs | NodeJs | Python | MySQL | WIX

Technology

Country -

India

Technology

Industry -

E-commerce

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StyleGenie

Results

With an AI-first mindset, we build intelligent and future-proof digital solutions to transform businesses and help them leverage from the benefits such as

5X

Technomark  | Growth

Increase in personalized styling accuracy

60%

Technomark  | Growth

Reduction in manual effort for stylist consultations

3X

Technomark  | Growth

Faster Personalized Recommendations

60%

Technomark  | Growth

Increase in Conversion Rate for Recommended Products

Challenges & Solutions

Personalized AI Styling for Seamless, Automated Fashion Recommendations

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Defining Product Roadmap

As a fashion-tech startup, StyledGenie struggled to define an MVP, leading to fragmented development and timeline delays.

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Defining an Ideal Product Roadmap

Through competitive analysis and industry research, we helped StyledGenie establish a structured product roadmap and go-to-market strategy, ensuring a streamlined launch.

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Manual Styling Consultations

The current process required significant manual effort to analyze survey responses and recommend products.

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AI-Driven Styling Automation

We implemented an AI-based recommendation engine that maps survey responses to product attributes, reducing dependency on manual curation.

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Integrating Survey Responses with Product Inventory

Mapping user preferences to available products in WIX manually was inefficient and prone to errors.

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Automated API Integration

We enabled seamless integration with WIX and Typeform, automating data retrieval and processing for accurate, real-time recommendations.

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Ensuring AI Recommendations Meet Quality Standards

AI-generated recommendations needed validation to align with brand expectations.

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Approval Workflow for AI-Generated Suggestions

We developed an internal validation portal for StyledGenie staff to review and approve AI recommendations before they appear on user profiles.

Key Features

Innovative tools that make personalized styling seamless, engaging, and effortlessly chic.

Style Genie case Study

Smart Style Quiz

An interactive quiz that captures user preferences and style goals to create a personalized fashion profile effortlessly.

Style Genie case Study

Virtual Fitting Room

A digital try-on experience that lets users visualize outfits and find their perfect style match before purchasing.

Style Genie case Study

AI-Powered Recommendations

An intelligent recommendation engine that analyzes user data and product attributes to deliver curated, on-brand outfit suggestions.

Style Genie case Study

Seamless WIX Integration

Smooth integration with WIX and Typeform, automating data flow and enabling real-time, AI-driven styling updates.

Style Genie case Study

Wardrobe Management

A smart system that tracks user wardrobes, helping them mix, match, and style pieces more effectively over time.

Style Genie case Study

Subscription-Based Recommendations

A personalized subscription model that delivers fresh, AI-curated outfit ideas regularly, keeping users’ styles evolving effortlessly

Design in Action

See how Style Genie brings digital styling to life with smart, elegant visuals.

Technomark | StyledGenie | Case Study | AI
Technomark | StyledGenie | Case Study | AI

Business Impact

Technomark  Business Impact

StyledGenie experienced significant improvements in efficiency, user engagement, and conversion rates. The AI-driven approach reduced manual workload while enhancing customer satisfaction. Our solution enabled: Automated styling recommendations, reducing manual intervention by 70%. Enhanced user experience through real-time outfit suggestions and wardrobe management. Faster time-to-market with a structured product roadmap and API-driven automation. Higher subscription retention rates through AI-powered personalized styling.

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