October-November, 2025

Stay ahead with Netcore Unbxd’s latest releases.

Version 1.25

Deliver More Accurate Filtering with On-Click Field Rule!

We’re excited to introduce the On Click Field Rule, a powerful new feature that brings unmatched precision and flexibility to how facets behave across your Browse experiences.

Facets like Brand, Price, or Jewelry Type are key to helping shoppers quickly find what they want. This new click-based approach ensures that facet behavior adapts in real time, responding instantly to what shoppers actually click on — not just to pre-set thresholds.

What This Means for You

  • More relevant results
  • Improved accuracy
  • Better conversions

Refer here to know more!

Product Display with Variant Locking!

Introducing Variant Locking, a new merchandising feature that lets you decide which product variant appears as the default variant on category pages.

This capability ensures consistent product presentation across categories and empowers you to align merchandising with seasonal or campaign goals. This feature enhances

  • Flexibility
  • Brand Consistency
  • Conversion Optimization by ensuring the right variant is always displayed first.

Read the complete documentation here.

Power Your Merchandising Strategies with Date Fields!

Introducing the ability to use date-type fields as merchandisable attributes in Search and Browse. With this enhancement, you can now Boost, Sort, Slot, Filter, Pin, or apply Freshness based on key dates such as product creation, shipping deadlines, or delivery availability. Read the document here.

Keep New Arrivals Visible with Product Freshness!

Introducing Product Freshness, a merchandising strategy that helps you boost newly added products in search and browse results.

Since new products often lack clickstream data and risk getting buried, the Freshness rule ensures they rank higher, gaining visibility and engagement!

📘

Fields with the Date datatype are supported for use in Merchandising: Product Freshness rules.

Refer here for documentation.

Product Insights with Table View!

We’re thrilled to introduce the enhanced Table View, designed to give merchandisers full visibility into every product detail, all in one place.

With this update, you can now view all fields of a specific product in a clear, tabular layout, making it easier than ever to analyze, validate, and manage product data.

UI Enhancements

  1. We have added a warning status indicator to the Campaign listing page for better visibility of issues.
  2. We have introduced a search bar within the AI Suggested Redirects interface to quickly find and manage redirects.
  3. Reintroduced Site Performance & Query Performance metrics on Merchandising Preview.
  4. Provided a Feed Download in the catalogue status page in a CSV format.
  5. Introduced Product level Reporting in Browse.

AI-Based Complete the Look

We are thrilled to announce the release of AI Complete the Look (AI CTL), our AI-powered feature that automatically generates supporting products for any given product, helping you drive cross-sell and upsell opportunities effortlessly! Steps to Enable:

  1. Open the Recs Console.
  2. Go to Account Management.
  3. Toggle the AI CTL option.

A brand-new algorithm named AI Complete the Look will appear under Core Algorithms.

Once trained, you can:

  • Explore generated supporting categories.
  • Preview recommended products by entering any product ID.

This feature is part of our Premium Plans. To learn more, refer to the documentation here.


Revamped Recommendation Console for Smarter Personalization!

We are excited to announce that we have completely revamped the Recommendation Console to help merchandisers design, manage, and measure product recommendations effortlessly, all from one unified workspace.

The enhanced console introduces five new pages designed to make personalization more powerful and intuitive:

Experience: Build dynamic, personalized recommendation experiences tailored to shopper intent.

Template: Kickstart recommendation setup with ready-to-use, customizable templates.

Algorithm: Fine-tune your recommendation logic to drive higher engagement and conversions.

Reports: Track performance metrics and uncover insights that power smarter merchandising.

Manage: Oversee configurations and deployments with greater control and visibility.

Deliver relevant, data-driven product recommendations faster and create shopping experiences your customers will love. Interested?

📌

Contact [email protected] for further information. Refer to the entire documentation here.