Inspo Hair Case Study

  • Inspo Hair

The mobile application enables users to create personalized AI-generated photos with specific facial features, skin tone, ethnicity, and hair, analyzing and applying these attributes, and suggesting Amazon product links.

Real-Time Visual Makeovers

Instantly see yourself with different skin tones and hair colors based on AI-powered facial analysis.

Dual-Input Image Matching

Submit a second image with a different look, and the app will apply those characteristics to your own face.

Shop the Look

The app goes beyond filters, intelligently curating Amazon products (like hair dye, makeup, or skincare) to help users physically replicate their virtual transformations.

Photo Submission

All users can submit photos, ensuring clarity in facial features, skin tone, ethnicity, and hair.

AI Image Analysis

The platform employs AI technology to analyze submitted images and apply attributes such as face skin tone and hair color seamlessly.

Visual Experimentation

Users have the option to experiment with different face skin tones and hair colors, visualizing various looks.

Product Recommendations

The platform intelligently recommends relevant Amazon product links related to hair color and face skin tone.

Inspo - Project Delivery Timeline

The steps taken from the preliminary development considerations to the final release of the app.

1 Who’s It For

A brief overview of the target audience, their needs, and how the product is tailored to solve their specific problems or improve their daily experience.

2 Choosing How to Build

An outline of the strategic and technical decisions made during development—platform selection, architecture, tools, and methodologies that shaped the foundation of the app.

3 Designing the Look

A deep dive into the visual and user experience design—color schemes, branding, UI components, and how the design was crafted to be intuitive, engaging, and aligned with user behavior.

4 Making it Simple

Details on how complexity was reduced in both user flows and functionality—ensuring ease of use, smooth navigation, and minimal learning curve across all user types.

5 Testing & Feedback

Insights into the testing phase—how the app was tested with users, what feedback was collected, how bugs were resolved, and how usability improvements were made based on real user input.

6 Keeping Track

An explanation of the systems or features used to monitor app performance, user behavior, and data insights post-launch—helping stakeholders track success and usage trends.

7 Handing Over

Describes the delivery process—how documentation, admin tools, or training were provided to clients or stakeholders, ensuring a smooth transition and operational readiness.

8 Always Improving

A section dedicated to the app’s future roadmap—plans for updates, new features, continuous feedback loops, and the long-term vision for evolving the platform.

9 Helping It Stand Out

Showcases the app’s unique selling points and differentiators—what makes it memorable, competitive, and valuable in its industry or market.

  • 1

    Who’s It For
  • 2

    Choosing How to Build
  • 3

    Designing the Look
  • 4

    Making it Simple
  • 5

    Testing & Feedback
  • 6

    Keeping Track
  • 7

    Handing Over
  • 8

    Always Improving
  • 9

    Helping It Stand Out

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