Celebros AI Search & Discovery

Develop by Celebros Search by Bridgeline

$49-$499

/ Month

30 Days Free Trial

AI Search, Merchandising & Discovery

Visual merchandising

Semantic site search

Dynamic filters

Advanced autocomplete

Virtual categories

Attribute generator

About Celebros AI Search & Discovery

Launched May 29, 2019

Built by Celebros Search by Bridgeline

Email :

[email protected]

Address

100 Sylvan Road, Suite G700, Woburn, MA, 01801, US

Website Privacy policy Tutorial FAQ

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Introduction Video

Description

Celebros is a Natural Language Site Search with Machine Learning, AI, Merchandising, & AutoComplete.

Celebros AI Search has a proven track record of increasing the Conversion Rate and Revenue for many online shops. With its advanced algorithm, Celebros understands which word in the query is a product, an attribute, or an expression that is related to a price or product. Celebros allows visitors to use natural language search phrases to find the product they are looking for, much faster.

Semantic Site Site Search with Machine Learning & AI
Dynamic Filters, Facets & Refinements on Search and Collection Pages
Advanced AutoComplete & AutoSuggest with Product Recommendations
Visual Merchandising on Search & Collection Pages (Guided Navigation)
Virtual Categories, Campaigns, Attribute Generator, Synonyms & Shop-Dictionary

Pros

Proven track record of increasing conversion rates and revenue for online shops
Advanced algorithm that understands natural language queries
Facilitates faster product search with natural language capabilities
Employs semantic site search leveraging machine learning and AI
Dynamic filters, facets, and refinements enhance user interactions on search and collection pages
Offers advanced autocomplete and autosuggest features along with product recommendations
Visual merchandising aids in guided navigation for better user experience
Includes features like virtual categories, campaigns, attribute generator, synonyms, and shop-dictionary for improved search and organization

Cons

Initial setup and integration could be complex for some users
Potential dependency on AI accuracy, which might not always interpret queries as expected
May require ongoing maintenance and updates to ensure optimal performance