Opulli vs Tryona Detailed comparison features, price

Opulli

Opulli transforms the online shopping experience through advanced AI technology that creates personalized digital fitting rooms. The platform seamlessly integrates with existing eCommerce platforms, allowing customers to visualize clothing items on their personalized digital avatars generated from selfies and body measurements.

Through its intelligent recommendation engine and real-time visualization capabilities, Opulli helps retailers boost sales performance with documented increases in conversion rates and basket sizes while significantly reducing return rates. The platform offers customizable integration options to maintain brand consistency and enhance the overall shopping experience.

Tryona

Tryona serves as a virtual fitting room designed to enhance the online fashion shopping experience. It utilizes advanced Artificial Intelligence (AI) and Augmented Reality (AR) technology, enabling customers to visualize how clothing items would look on their specific body shape before making a purchase. This approach aims to replicate the in-store dressing room experience digitally.

The platform benefits both shoppers and retailers. Customers can make more confident purchasing decisions, potentially reducing the hassle of returns, and discover new styles that suit them. For e-commerce businesses, Tryona offers straightforward integration into existing online stores via an API. This allows retailers to provide an interactive and engaging virtual try-on feature, potentially increasing customer engagement and reducing return rates.

Pricing

Opulli Pricing

Contact for Pricing

Opulli offers Contact for Pricing pricing .

Tryona Pricing

Contact for Pricing

Tryona offers Contact for Pricing pricing .

Features

Opulli

Digital Avatar Creation: Generates personalized digital twins from selfies and body measurements
Virtual Try-On: Enables real-time visualization of clothing items on customer avatars
Intelligent Recommendations: Suggests complementary items for complete outfit visualization
eCommerce Integration: Seamless integration with existing platforms
Customizable Interface: Adaptable to match brand aesthetics
Return Rate Reduction: Decreases returns by up to 20%

Tryona

Realistic Try-Ons: AI adapts clothing images to the user's specific body shape.
Mix and Match: Enables users to create and visualize full outfits by combining different items.
E-commerce Integration: Provides an API and embeddable code for integration into online stores.
Style Discovery: Helps users find new styles that complement their preferences.
Sharing Capability: Allows users to share their virtual try-ons with friends for feedback.

Use Cases

Opulli Use Cases

Online clothing retail
Fashion e-commerce platforms
Virtual wardrobe planning
Personalized shopping experiences
Digital fashion consultation

Tryona Use Cases

Reducing returns for online fashion retailers.
Enhancing customer confidence in online clothing purchases.
Providing a personalized shopping experience for fashion consumers.
Allowing shoppers to virtually try on clothes before buying.
Helping users discover new outfit combinations and styles.
Improving engagement on e-commerce fashion websites.

FAQs

Opulli FAQs

What performance improvements can retailers expect?

Retailers can expect a 1.5x increase in conversion rate, 22% increase in basket size, and up to 13% reduction in return rates.
Is Opulli compatible with all e-commerce platforms?

Opulli is designed to integrate easily with any eCommerce platform, including Shopify, to offer a frictionless shopping experience.

Tryona FAQs

How does Tryona adapt clothes to my body shape?

Tryona uses AI technology to realistically adapt clothing images to fit your specific body shape for virtual try-ons.
Can I mix and match different clothing items using Tryona?

Yes, Tryona allows you to create full outfits by mixing and matching different pieces to see how they look together virtually.
Can I share my virtual try-ons from Tryona?

Yes, the platform allows sharing virtual try-ons with friends for feedback, often including a link back to the product page.