Google visualizes outfits on actual bodies

Jeff J Hunter & Valentin Molina
October 13, 2025

Doppl app creates AI outfit videos

Hey AI Enthusiast,

Google just expanded virtual try-on technology to Australia, Canada, and Japan - eliminating guesswork about fit and style by letting users upload photos to see how clothes and shoes look on their actual bodies through AI visualization.

The system now handles footwear in addition to clothing, generating realistic images showing how products appear on users' uploaded photos within seconds, meaning shoppers can evaluate purchases without visiting stores or ordering multiple sizes.

Let me break down today's power prompt and marketing strategy first (then show how AI-powered shopping visualization changes e-commerce conversion rates completely...)

🔥 Prompt of the Day 🔥

Cyber Monday Teaser

Create One Deal-Previewing Announcement: Use ChatGPT or Claude
Act as a cyber sales specialist. Create one teaser email for Cyber Monday deals starting [TIME].

Essential Details:

Deal Categories: [What’s on sale]
Biggest Discount: [Max percentage]
Online Exclusive: [Digital only perks]
Start Time: [When it begins]
Deal Duration: [How long]
Early Access: [VIP preview]

Create one teaser including:

Coming soon subject
Deal preview highlights
Exclusive online benefits
Start time reminder
Preparation tips
Set reminder CTA

Instruction:
Build online shopping anticipation.
Keep under 175 words total.

✅ Marketing Monday ✅

Accessibility Excellence Systems

Ignoring accessibility means losing customers who can't use your content.

Every subscriber deserves functional experiences regardless of visual, motor, or cognitive abilities, yet most businesses design exclusively for typical users while excluding significant market segments.

Accessibility campaigns work when design meets technical implementation strategically.

Build inclusively from start while testing continuously automatically.

Essential for converting diverse audiences into engaged subscribers efficiently.

Use high contrast ratios ensuring text remains readable across vision capabilities instantly.

Add descriptive alt text to every image providing context for screen reader users naturally.

Structure content with proper heading hierarchy allowing assistive technology users to navigate efficiently.

Test with screen readers regularly identifying barriers that prevent disabled users from accessing content reliably.

Conduct accessibility audits continuously finding issues that exclude potential customers unnecessarily.

Never assume default designs work universally - comprehensive testing performs better for all users.

Smart businesses treat accessibility like business requirements within design strategies fundamentally.

Exclusion indicates oversight rather than intentional discrimination, but impact remains identical regardless.

Compliance research shows accessible sites convert better because clarity benefits everyone using content significantly.

User experience tracking reveals accessibility improvements increase engagement across all audience segments consistently.

Properly structured accessible campaigns maintain better search rankings because semantic HTML helps algorithms understand content.

Design inclusivity creates competitive advantages without aesthetic compromises when implemented thoughtfully.

Balance automated testing with real user feedback naturally within development workflows systematically.

Customer diversity patterns require accessibility strategies based on actual usage barriers effectively.

Inclusive optimization succeeds through consistent implementation and user-centered refinement processes reliably.

🤔 Did You Know? 🤔

AI is reconstructing what extinct animals sounded like by analyzing fossil bone structures and comparing them to living relatives, bringing prehistoric voices back to life.

🗞️ Breaking AI News 🗞️

Google just expanded virtual try-on shopping to three new countries while competitors Amazon and Walmart play catch-up with basic features.

Users upload photos to see clothes and shoes on their own digital twin rather than generic models.

Here's what actually shifted:

Virtual try-on launches in Australia, Canada, Japan - AI feature visualizes how real clothes look on users' own bodies instead of diverse model photos
Shoes now compatible with try-on technology - tap product listing, select "Try It On" button, add full-length photo for instant shoe visualization
Doppl app creates AI-generated outfit videos - experimental app shows clothes in motion helping users curate personal style beyond static images
Save and share options built into listings - users generate virtual try-on images then save or share directly from Google shopping results
Same generative AI powers both platforms - core technology runs main try-on feature and Doppl app for consistent virtual shopping experience

Shopping fundamentally changed.

Google launched clothes try-on two months ago then rapidly added shoes showing aggressive expansion plans.

Amazon and Walmart introduced similar features but lack Google's AI sophistication and video capabilities.

The virtual try-on demonstrates what becomes possible when AI handles personalized modeling instead of forcing customers to guess fit from flat images.

This proves online shopping's future removes purchase uncertainty rather than just theoretical demonstrations.

Retailers adopting virtual try-on early gain conversion advantages while competitors continue showing static product images without personalization.