Celebros Description

Celebros has developed a robust recommendation engine that effectively understands your product inventory and proposes relevant items to enhance your customers' shopping experience. Its Cross Sell feature utilizes sophisticated merchandising technology that analyzes real-time search data and user behavior, suggesting complementary products from your catalog as shoppers navigate from the landing page to their shopping carts. This innovative tool empowers customers to discover and buy additional items that pair well with their current selections. By leveraging advanced natural language processing algorithms and historical purchase data, Cross-Sell provides tailored product recommendations that can help boost your average order value (AOV) and create a more customized shopping journey. Moreover, the system allows you to configure the recommendations to align with your specific merchandising strategies, recognizing that different categories, brands, and SKUs require unique approaches rather than a one-size-fits-all solution. This level of personalization not only enhances customer satisfaction but also drives repeat business by fostering a more engaging shopping environment.

Pricing

Free Trial:
Yes

Integrations

No Integrations at this time

Reviews - 1 Verified Review

Total
ease
features
design
support

Company Details

Company:
Celebros
Headquarters:
United States
Website:
celebros.com

Media

Recommended Products
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free

Product Details

Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Business Hours
Online Support

Celebros User Reviews

Write a Review
  • Name: Martin E.
    Job Title: ECommerce Manager
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User, Deployment
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Super fast natural language search

    Date: Jul 19 2022

    Summary: We solved the issue of a slow loading speed of the search results page. We improved the user interaction with the search because it updates the results while typing. And we improved the results of the search itself, presenting the products to the customers that he needs to find.

    Positive: The search results are loading very fast, and the natural language recognition is intuitive and like I would expect.

    Negative: The customization of the look & feel was a bit time-consuming.

    Read More...
  • Previous
  • You're on page 1
  • Next