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What is Unbxd?

Create a captivating and personalized e-commerce search experience that effectively converts visitors into paying customers. By enhancing the contextual relevance for users, you can significantly increase conversion rates. Tailor category pages to provide a unique shopping experience that resonates with each individual shopper. Boost cart sizes and average order value (AOV) through personalized product suggestions that align with each customer's preferences. Utilize AI and Digital Asset Management to streamline the creation of a substantial volume of content. Deploy advanced AI models to make your site search not only intelligent but also highly relevant and customized for users. Ensure that the search functionality on your site effectively turns shoppers into buyers across all devices, be it desktop, web, or mobile. Offer a swift and efficient e-commerce search experience that keeps shoppers actively engaged. Expedite the integration of your e-commerce site search solution using Unbxd's robust APIs and SDKs. Keep track of shopper preferences and purchasing behaviors to help them make informed buying decisions. Acquire a comprehensive understanding and valuable insights into your business operations to facilitate optimal growth and strategic adjustments. By implementing these innovative strategies, your e-commerce platform can craft a more immersive shopping journey, resulting in enhanced sales and increased customer satisfaction. Ultimately, a focused approach to e-commerce search can lead to lasting customer loyalty and a flourishing online business.

What is Convermax?

Convermax's search engine excels at understanding various queries, adeptly identifying terms like 'cotton' as a fabric type, 't-shirt' as a product category, and 'under $50' as a budget limit within the request "cotton t-shirt under $50." Similarly, it discerns that '52"' in the search term "52" lcd" specifies the size of a television, while also recognizing the equivalent phrase "52 inch lcd," yielding the same search results. Moreover, the search interface features an autocomplete suggestion bar that provides users with instant recommendations tailored to their entered queries. These suggestions, whether they pertain to queries, products, or categories, are all based on the unique data and search history of your store. As the autocomplete function gathers more search information, its ability to deliver relevant suggestions becomes sharper, facilitating a faster and smoother product discovery for customers. Additionally, the filter panel is designed to dynamically reveal or hide different sections according to the selected category or other user-defined parameters, creating a personalized shopping experience. This flexibility guarantees that the layout is organized in a manner that makes the most sense for specific product categories, ultimately increasing user satisfaction and engagement. Overall, Convermax's intelligent design and responsive features work together to enhance the overall shopping journey for customers.

Media

Media

Integrations Supported

Magento
SAP Commerce Cloud

Integrations Supported

Magento
Affirm
AmeriCommerce
BigCommerce
Judge.me
OpenCart
PrestaShop
Shift4
Shopify
Stamped
WooCommerce

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$250 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Unbxd

Date Founded

2011

Company Location

United States

Company Website

unbxd.com

Company Facts

Organization Name

Convermax

Date Founded

2011

Company Location

United States

Company Website

convermax.com

Categories and Features

AI-Powered PIM

Not specified

eCommerce Search

Not specified

PIM

Not specified

Site Search

Not specified

Categories and Features

eCommerce Search

Not specified

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