Release Summary 26.13 | June 25, 2026

The following key features and improvements, along with bug fixes, have been released in Algonomy DXP products in the release version 26.13.

Ensemble AI

Configurable Virtual Try-On Enablement

Ensemble AI now includes a site-level configuration that allows businesses to control the availability of the Virtual Try-On capability. When the Enable Virtual Try-On for Ensemble AI setting is enabled, users can configure and use Virtual Try-On at the style level. When disabled, the option remains hidden, helping streamline the user experience.

This enhancement provides greater flexibility and control over feature availability, allowing businesses to enable Virtual Try-On only when it is relevant to their use cases. By default, the setting is disabled.

Jira: ENG-32576

Style Definition Validation for Configuration Limits

Ensemble AI now validates style definitions against supported configuration limits before they can be saved. Structured styles that exceed 10 billion possible combinations are prevented from being saved, with clear guidance provided to help users reduce the style complexity.

Additional validation has been added for region-based configurations. If more than 10 regions are defined, the configuration cannot be enabled. These safeguards help ensure reliable processing of Ensemble AI jobs while providing immediate feedback during style creation.

Jira: ENG-32372

Shopping Assistant

Chat Reporting: Q&A Engagement Insights

A new Chat Q&A Engagement report provides deeper visibility into how users interact with AI-powered conversations. The report captures chat activity at the session level, including the questions users ask, the responses generated by the AI, and the number of product clicks associated with each question and response.

By connecting chat transcripts with session activity, merchandisers can better understand engagement patterns, identify which conversations drive user interaction, and evaluate the effectiveness of AI-generated responses.

Jira: ENG-32062

Chat Agent: Social Proof Messaging in Chat Responses

Chat Agent now supports Social Proof messaging directly within chat responses, helping shoppers make faster and more confident purchasing decisions. When products are returned as part of a chat response, relevant Social Proof messages are automatically fetched and displayed alongside those products.

Social Proof messages can be rendered in configurable positions, such as above the product image or near the product price, providing flexibility in how messaging is presented. Businesses can also customize the appearance of these messages, including text styling, colors, backgrounds, and borders, allowing the experience to align with their brand while highlighting real-time shopper activity and product popularity.

Jira: ENG-32216

Recommend

Recommend Reports Landing Page

Recommend now includes a dedicated reports landing page that helps users understand the purpose of each available report and quickly navigate to the information most relevant to their goals. The landing page organizes reports into key business areas such as Revenue & Impact, Optimization, and Merchandising, making it easier to discover and access reporting insights.

Each report is accompanied by guidance on who typically uses it, when it should be used, and the key metrics it provides, along with direct navigation links to the report. This enhancement simplifies report discovery, accelerates analysis, and helps users focus on the metrics that matter most for measuring performance and optimizing recommendation strategies.

Jira: ENG-32666

Other Feature Enhancements

The following feature enhancements and upgrades have been made in the release version 26.13.

Jira #

Module/Title

Summary

General Availability

ENG-32251, ENG-32252, ENG-32253, ENG-32255

Social Proof:

Enhanced Tracking Support for Messaging

The Social Proof Messaging API and Tracking API have been enhanced to support richer message-level tracking across Social Proof experiences. Additional tracking parameters can now be captured throughout the reporting pipeline, with support extended to the Avro schema and reporting data sources for more comprehensive analysis and optimization.

New supported fields include Experience ID, Variation ID, Message Type, Interval, Threshold, Text Template, Text Message, Language, Page Type, Timestamp, and optimization attributes such as Price, Primary Category, and Channel. These enhancements provide deeper visibility into message performance and user engagement while maintaining full backward compatibility with existing data and integrations.

25-Jun-26

ENG-32659

Shopping Assistant chatbot:

Shopper Feedback Capture

Shoppers can now provide feedback on chatbot responses through the API using thumbs up or thumbs down ratings. The feedback is captured along with the associated question and response, helping businesses evaluate answer quality and identify opportunities to improve the chatbot experience.

This enhancement provides valuable insights into shopper satisfaction and supports ongoing optimization of AI-generated responses.

25-Jun-26

ENG-32651

Shopping Assistant chatbot:

Improved Response Quality and Consistency

The chatbot response prompt has been refined to avoid repetitive filler phrases and introductory affirmations at the beginning of responses. Answers now start directly with relevant content, creating a more natural and streamlined conversation experience.

This enhancement helps improve response quality, consistency, and readability, allowing shoppers to receive information more quickly and efficiently.

25-Jun-26

ENG-32742

Engage:

Configurable Content Link URL Patterns

Engage now supports configurable content link URL patterns, allowing businesses to append click-through parameters to content URLs for improved analytics tracking. This helps ensure that engagement data from content interactions can be passed to external analytics and reporting tools.

The enhancement provides flexible URL construction using supported variables and applies consistently across content delivery scenarios, enabling more accurate tracking and measurement of content performance.

25-Jun-26

ENG-32653

Recommend:

Configurable Strategies: Expanded Product Input Support

Configurable strategies using CustomInputModel now support the existing productId parameter for populating dynamic product lists in addition to the productInputExtIds parameter. This enhancement provides greater flexibility and compatibility with existing integrations.

By supporting both parameters, businesses can continue using their current implementations without requiring updates, helping ensure a smoother configuration and integration experience.

25-Jun-26

ENG-32774

Find:

Improved Search Stability with Optimized Personalization Defaults

The psdOptimize setting is now enabled by default, reducing unnecessary Solr requery operations during personalization decisions and helping improve search reliability.

This enhancement simplifies site configuration, reduces operational overhead, and helps maintain a more consistent search experience.

25-Jun-26

PLAT-4390

Streaming Catalog:

Configurable Product Description Updates

Streaming Catalog now supports updating product descriptions in PostgreSQL for sites where the feature is enabled. The capability is controlled through site-level configuration, allowing businesses to manage product description updates based on their specific requirements.

When description length limits are configured, descriptions are intelligently trimmed at natural breakpoints such as spaces, commas, or periods to preserve readability. This enhancement provides greater flexibility in managing product content while maintaining existing catalog ingestion and streaming workflows.

25-Jun-26

ENG-32587

Find:

Regex-Based Fallback for Price Intent Detection

Find now supports a regex-based fallback mechanism for price-related queries, helping improve intent detection when price information is not clearly identified through existing query understanding methods.

This enhancement increases the accuracy of price intent recognition, enabling more relevant search experiences and helping shoppers find products that match their pricing preferences more effectively.

25-Jun-26

ENG-32752

Find:

Improved Handling of Missing LLM Intent Values

LLM intent processing has been enhanced to handle missing search terms and range values more consistently. When an effective search term is not identified, it now defaults to a wildcard value (*), and missing minimum or maximum range values are automatically populated with the same default.

This enhancement improves query processing reliability and helps ensure that incomplete intent data does not impact the search experience.

25-Jun-26

ENG-32761

Find:

Dedicated LLM Batch Tracking for Publisher Jobs

Find Data Publisher now uses a dedicated LLM batch tracking table to manage batch requests generated by related search and intent generation jobs. This enhancement provides a centralized way to track batch processing details, statuses, and associated files for LLM-powered workflows.

By separating LLM batch records into a dedicated structure, the platform improves operational visibility and simplifies the management of LLM-driven publishing processes.

25-Jun-26

ENG-32580

Ensemble AI:

Hybrid Search for Improved Product Matching

Ensemble AI now supports hybrid search when Visual AI is enabled, combining both text-based and image-based retrieval to identify more relevant products for each style component. By leveraging information from product descriptions and visual attributes together, the system can better understand shopper intent and improve the quality of generated ensembles.

Results from both retrieval methods are intelligently combined for each style component, helping improve accuracy for product categories and attributes that may be difficult to identify through images alone. This enhancement delivers more relevant outfit recommendations while preserving the existing experience when Visual AI is not enabled.

25-Jun-26

PLAT-4382

Catalog Enrichment:

Support for Direct Enrichment Attributes

Catalog Enrichment now supports a direct enrichment vendor option that publishes enriched attributes without namespace prefixes. This helps ensure broader compatibility with downstream applications that do not support special characters in attribute names.

By simplifying attribute naming before publishing enrichment data, this enhancement enables smoother integration with downstream systems while preserving existing enrichment storage and processing workflows.

25-Jun-26

ENG-32766

Experience Insights:

Added Optimizer Bot Detection

The Optimizer crawler has been added to the known bot list, enabling its traffic to be identified and handled appropriately during data processing and reporting.

This enhancement helps improve reporting accuracy by ensuring crawler activity is distinguished from shopper interactions, resulting in more reliable analytics and performance insights.

25-Jun-26

ENG-32319

Recommend:

Enhanced Placement Profile Performance Insights

The Placement Profile experience has been enhanced to help users more easily identify and prioritize high-performing placements. Placement lists now display Placement Views and Attributable Sales, with placements sorted by Attributable Sales by default, making it easier to focus on the placements driving the most business value.

Additional improvements include support for currency selection on multi-currency sites, updated performance charts powered by reporting data, and convenient lookback options for analyzing recent trends. These enhancements provide clearer visibility into placement performance and streamline optimization workflows.

25-Jun-26

PLAT-4260

Streaming Catalog:

Checkpoint Support for Scoped Actions

Streaming Catalog now supports checkpointing for full legacy catalog scoped actions, enabling processing to resume from the last completed checkpoint if the service restarts before the operation is finished.

This enhancement improves the reliability of large catalog operations by reducing the need to restart processing from the beginning, helping minimize processing time and improve operational resilience.

 

25-Jun-26

Bug and Support Fixes

The following issues have been fixed in the release version 26.13.

Jira #

Module/Title

Summary

General Availability

ENG-32806

Ensemble AI:

Fixed Missing Style Names in Reports

We have fixed an issue where style names were appearing as blank in Ensemble AI reports. The reporting process has been updated to correctly retrieve style names from the latest Ensemble AI configuration data, ensuring that style information is displayed accurately in reports.

25-Jun-26

ENG-32755

Find:

Fixed Query Tag Schema Update Behavior

We have fixed an issue where QUERYTAG property update events could incorrectly update the product schema configuration. The schema update process now correctly applies changes to the query tag schema location, ensuring configuration updates are written to the appropriate destination.

This fix helps maintain accurate schema management for query tags and ensures search functionality continues to operate as expected.

25-Jun-26

ENG-32609

Ensemble AI:

Fixed Excessive Partial Ensemble Generation

We have fixed an issue that could cause Ensemble AI to generate an excessive number of partial ensembles for certain styles and seed products. The ensemble generation process now produces more accurate and complete results, improving the overall quality and consistency of generated ensembles.

25-Jun-26

ENG-32749

Find:

Fixed Property Value Style Persistence

We have fixed an issue where property value styles were not being saved correctly, causing all property values to be treated as the default style. Property value styles are now stored and applied as configured, ensuring that custom property value behavior is preserved and processed correctly.

25-Jun-26

ENG-32776, ENG-32656

Recommend:

Strategies Library: Fixed Rule Deletion Issues

We have fixed issues that prevented recommendation restrictions and strategy rules from being permanently deleted. Deleted rules are now removed successfully and the changes are correctly persisted, ensuring they no longer reappear after refreshing or revisiting the page.

25-Jun-26

ENG-32789

Engage:

Fixed Campaign Save Issue in New Browser Tabs

We have fixed an issue that could prevent campaign changes from being saved when a campaign was opened in a new browser tab or window. In some cases, the Save button became unresponsive and campaign details were not updated successfully.

Campaign editing and saving now work correctly regardless of whether the campaign is opened in the same tab or a new tab, providing a more reliable campaign management experience.

25-Jun-26

PLAT-4391

Streaming Catalog:

Fixed Cart State Updates for Remove Events

We have fixed an issue where products could remain in the final cart state after receiving a remove-from-cart event with a quantity of -1. Cart removal events are now processed correctly, ensuring product quantities are updated accurately and items are removed from the cart when their quantity reaches zero.

25-Jun-26

ENG-32746

Enterprise Dashboard:

Omnichannel API: Fixed Transaction Mode Display in Customer Profiles

We have fixed an issue where transaction mode information could be displayed incorrectly in customer profiles. In some cases, online transactions appeared as offline due to channel information being aggregated across multiple orders.

Transaction mode details are now displayed correctly for each individual order, ensuring that online and offline transactions are accurately represented in customer profiles and related views.

25-Jun-26

PLAT-4389

Fixed Wishlist Event Processing

We have fixed an issue where wishlist add events could fail to register correctly when remove events were received beforehand. Wishlist updates now process add and remove events accurately based on their event sequence and timestamps, ensuring that items are added and removed as expected.

This fix also ensures that remove events only affect the intended wishlist and product, preventing unintended changes to other wishlist items or lists.

25-Jun-26