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Cover image for ๐Ÿง  How I Designed an AI-Based Skincare Shopping Prototype That Simplifies Decision Fatigue in Beauty Tech
Anushka Gupta
Anushka Gupta

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๐Ÿง  How I Designed an AI-Based Skincare Shopping Prototype That Simplifies Decision Fatigue in Beauty Tech

๐Ÿงฉ The Problem: Skincare Confusion Is Real
From overwhelming ingredient lists to influencer-driven product hype, skincare customers often face choice paralysis.

As both a marketer and UX designer, I noticed that many beauty brands (especially indie and DTC) struggle to offer smart, personalized experiences due to tech limitations and cost barriers.

This prototype is my response to that problem โ€” merging UX thinking, basic AI logic, and front-end simplicity.

๐Ÿ’ก The Vision: Scalable AI for Beauty Brands
What if any skincare brand โ€” no matter how small โ€” could offer a seamless, intelligent shopping experience that mimics expert advice?

The result is an AI-inspired, lightweight product quiz that doesn't require APIs, heavy infrastructure, or complex integrations โ€” but still delivers value to users.

๐Ÿ”— Live Demo
๐Ÿ’ป GitHub Repo

๐Ÿš€ Why This Project Is Innovative

  • Applies AI logic in a simple, no-code-friendly way

  • Builds trust with users through tailored product suggestions

  • Scalable for brands without dev teams or budgets

  • Designed with modular UX: easy to adapt into ecommerce flows

๐ŸŽฏ How It Helps Small-Scale Brands Market Themselves
๐Ÿ’ผ Better Customer Experience = Higher Conversions
By personalizing recommendations, brands can reduce bounce rates and increase product trust โ€” especially important in skincare where results are personal.

๐Ÿ“‰ Reduces CAC (Customer Acquisition Cost)
Instead of spending on paid ads, brands can improve on-site UX and convert more from existing traffic.

๐Ÿงฐ Plug-and-Play for Lean Teams
This front-end model can be embedded or customized without the need for a backend โ€” ideal for solopreneurs, indie labels, or local cosmetic startups.

๐Ÿ“ฃ Builds Brand Authority
Offering a smart product quiz positions small brands as tech-forward and customer-focused โ€” even if theyโ€™re just starting out.

๐Ÿ”ง Built With

HTML, CSS

Vanilla JS for logic (form โ†’ decision tree โ†’ results)

Figma (for UX flow + design planning)

Hosted via GitHub Pages

๐ŸŒ Open for Collaboration
This repo is MIT licensed and contributor-ready. Whether you're:

  • A developer wanting to add backend/APIs

  • A marketer with insights into DTC journeys

  • A UI designer with UX ideas

Your input is welcome.

๐Ÿ”ฎ Whatโ€™s Next?

Integrate product APIs (INCIdecode, etc.)

Add scoring logic for skin goals

AR try-on feature (WebAR / WebXR)

Shopify plug-in model

๐Ÿง‘โ€๐Ÿ’ผ About Me
Iโ€™m Anushka Gupta, a global marketing strategist + UX thinker passionate about building tech that bridges human behavior and business goals. I work at the intersection of AI, ecommerce, and user-centered design.

๐Ÿ“Ž Connect on LinkedIn

๐Ÿ’ฌ Letโ€™s Co-Create
Drop ideas, fork the repo, or remix this prototype for another industry โ€” fashion, wellness, even food. Just tag me!

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