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What is Vue.ai?

Vue.ai is a comprehensive eCommerce solution that has gained the trust of over 100 retailers globally, such as Diesel, Nordstrom, and Tata Cliq. The company is transforming the retail landscape through the application of Artificial Intelligence. With a focus on tackling significant challenges in retail, Vue.ai utilizes Visual AI and machine learning algorithms in its offerings. The capabilities of our AI platform include streamlining catalog management, moderating images for marketplaces automatically, generating on-model imagery, enabling AI-driven styling and outfitting, providing dynamic one-to-one personalization, and crafting personalized shopping experiences for consumers. By leveraging these innovative solutions, retailers can enhance their operational efficiency and improve customer engagement significantly.

What is Koral?

Koral acts as a specialized visual product discovery platform tailored for e-commerce businesses and real estate firms. It elevates websites by offering an embeddable widget or REST API that features image-centric product searches, similar item discovery, and shoppable image experiences. Retailers can take advantage of catalog feeds to generate search results along with associated product recommendations that include matching sets, complementary options, outfit bundles, stylist recommendations, and virtual try-on features. Furthermore, its Shop the Look functionality enables editorial images or videos to be converted into interactive product combinations, while the built-in analytics track customer engagement. Teams have the ability to customize discovery features and modify feed parameters, and developers can integrate custom storefronts through well-documented endpoints. Koral's versatility allows it to cater to various retail sectors including fashion, home and interior, electronics, toys, and sports, while also offering tools for visual home exploration and room design. This platform effectively connects visual content with product availability, significantly enhancing the shopping journey for consumers. By streamlining the discovery process, Koral not only improves user engagement but also drives sales conversions for its clients.

Media

Media

Integrations Supported

Magento
Shopify
VueModel

Integrations Supported

Magento
Shopify
Google Tag Manager
WooCommerce

API Availability

Has API

API Availability

Has API

Pricing Information

Contact us for pricing details
Free Trial Offered?

Pricing Information

$299/month
Starter is $299/month for 1 domain and up to 500 products; Pro is $499/month for 1 domain and up to 5,000 products. Both include unlimited searches and usage, two daily feed updates, and Slack support. Additional domains cost 50% of the plan price. Enterprise is $1,000–$4,000/month for up to 4.5 million products, with up to eight daily feed updates, Slack support, custom features, and additional domains at 50% of the plan price.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mad Street Den

Date Founded

2016

Company Location

United States

Company Website

vue.ai/

Company Facts

Organization Name

Koral ApS

Date Founded

2022

Company Location

Denmark

Company Website

koral.nu/

Categories and Features

AB Testing

Audience Targeting
Campaign Segmentation
Funnel Analysis
Split Testing
Test Scheduling

eCommerce Search

Not specified

Image Recognition

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates

Personalization

A/B Testing
Behavioral Targeting
Campaign Segmentation
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

Product Photography

Not specified

Shopping Cart

Catalog Management

Virtual Fitting

Not specified

Virtual Shopping

Not specified

Categories and Features

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