Reactive Reality

"Virtual clothes try-on for online shops"

This company offers a virtual dressing room for online fashion stores, allowing users to try on clothes digitally using avatars. It aims to boost engagement, improve brand differentiation, and provide data-driven insights for better customer targeting.
Reactive Reality Stated Claims
These are public claims Blurbs AI believes to have been made by Reactive Reality.
Premium AI technology
Reactive Reality claims that PICTOFiT is the leading virtual try-on platform for fashion e-commerce, powered by Generative AI.
User experience focus
Reactive Reality claims that PICTOFiT is designed to cater to companies of all sizes and powers different features that help increase conversions, boost user engagement, and reduce returns.
Industry validation
Reactive Reality claims that they are trusted by leading brands and partners, providing testimonials from companies like Microsoft, Shopify, HUGO BOSS, and others.

BlurbSTAR Case Study
Anonymous & Reactive Reality
Virtual outfits boosted sales and engagement for the retailer.
33%
Preferred shopping online, versus 67% for physical stores.
300x
Return on investment from the PICTOFiT technology.
This profile remains unclaimed. Blurbs can only offer a partial, unverified case study.
1.
Situation
In 2018, a major online luxury and fashion retailer faced significant challenges with high return rates and low sales performance. Despite the convenience of online shopping, only 33% of people preferred online stores. The retailer needed to offer a more personalized and engaging shopping experience to boost sales and reduce returns.
2.
Task
The retailer aimed to provide an innovative shopping experience by allowing shoppers to mix and match garments virtually. This had to help customers make better-informed purchasing decisions and ultimately increase their engagement and sales.
3.
Action
The retailer integrated PICTOFiT's virtual outfit mix-and-match solution into their shopping app. This allowed customers to create virtual outfits with avatars, share their looks on social media, and receive immediate feedback. The solution showcased over 250 products per week using 2D ghost mannequin images, simplifying the digital asset creation process.
4.
Result
The virtual mix-and-match feature led to a significant increase in key performance metrics. The retailer saw a 6x increase in average spending per user and an additional revenue of over 70 million EUR within a year. Other improvements included a 7% rise in average order value, 494% increase in revenue per user, 245% more sessions per user, 61% higher conversion rate, 49% longer average session length, and 413% more time spent per user per month.
Keywords
VIRTUAL SHOPPING
ONLINE FASHION RETAIL
PICTOFIT
MIX AND MATCH OUTFITS
E-COMMERCE
PERSONALIZED SHOPPING EXPERIENCE
FASHION TECHNOLOGY
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Reactive Reality
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