Release Summary - July 03, 2023

Composite Outfit – Define list view of Style

The "Define list view of Style" feature has been introduced as part of our ongoing efforts to enhance the Composite Outfit UI experience. This release focuses on providing Merchandisers with a comprehensive list view of styles, empowering them to effectively manage their style collections.

In this release, Merchandisers can conveniently view important details such as the style name, number of parts, date of creation, and the respective user who created it. Additionally, they have the ability to perform essential actions such as adding new styles, deleting styles (including associated outfits), editing existing styles, and enabling/disabling styles.

Note: The Composite Outfit feature is currently not generally available.

Jira: ENG-25787

Composite Outfit UI - Enable Filters for Each Slot

We are excited to introduce the "Enable Filters for Each Slot" feature in the Composite Outfit UI. This enhancement empowers Merchandisers with granular control over the products included in each slot of their outfits. The release includes the following capabilities:

• Filter options are now available for each slot, allowing users to specify their preferences for product inclusion.
• Define price range filters, including options such as no preference, between two prices, above a certain price, or below a certain price.
• Specify brand inclusion using exact external IDs.
• Exclude or include specific subcategories by entering their exact external IDs.
• Add attribute filters by providing exact external attribute names and values.
• Apply the filter rules to the respective slots, ensuring the outfits generated adhere to the specified criteria.

Note: The Composite Outfit feature is currently not generally available.

Jira: ENG-25797

Composite Outfit UI - Define Style and Generate Outfits

The "Define Style and Generate Outfits" feature is now available in the Composite Outfit UI. This enhancement empowers Merchandisers with the ability to define styles and generate outfits based on their preferences. The release includes the following capabilities:

• Create customized styles with specified parts.
• Define the categories for each part of the style, such as Accessories & Gifts, Jeans, T-shirts, and Shoes.
• Visualize the layout and select categories for each slot.
• Save and manage defined styles for future use.
• Leverage backend algorithms to effortlessly generate a diverse range of outfit combinations.

Note: The Composite Outfit feature is currently not generally available.

Jira: ENG-25788

Composite Outfit UI - View Outfits for a Given Seed Product

We have introduced a new enhancement to the Composite Outfit UI that allows Merchandisers to view outfits generated for a specific seed product based on the defined style. This enhancement provides valuable insights into the outfits' ranking, enabling Merchandisers to assess their quality and relevance.

Merchandisers can now easily select a seed product and view the generated outfits in the order of their ranking. This feature empowers Merchandisers to make informed decisions by evaluating the outfits based on their rank/score.

Note: The Composite Outfit feature is currently not generally available.

Jira: ENG-25789

Composite Outfit - Review Generated Outfits for Styles

The Composite Outfit feature now allows merchandisers to review outfits for a style before publishing them. After defining the style layout, users can generate outfits and review them in a ranked order based on algorithms. The system provides the total number of products and outfits generated, with an estimated processing time of less than 2 minutes. Merchandisers can exclude specific products or outfits without regenerating them. Once the new style is saved, it can be published to be included in the runtime model.

Note: The Composite Outfit feature is currently not generally available.

Jira: ENG-26017

Guided Selling: Logging Shopper Responses to UPS

The Guided Selling feature now allows digital merchandisers to log shoppers' responses to User Profile Service (UPS) for targeted marketing purposes. By enabling the "Log answers to UPS as user attributes" option, the shoppers' answers are recorded as key:value pairs in UPS. This includes product attributes, seed categories, and seed products.

When shoppers submit the Guided Selling quiz, the relevant parameters, including the user attribute values, are included in the recsForPlacementsContext request. The user attributes are passed using the "userAttributeReplace" parameter in the query string, with multiple attributes separated by a pipe. For example, userAttributeReplace=Lifestagenew:Adult Cat|BreedSizenew:Small Breed|gs_category:01 Jewelry.

The logged data can be viewed in the User Profile for the corresponding user ID. This enhancement allows digital merchandisers to leverage shoppers' guided selling responses for targeted marketing and personalized recommendations.

Jira: ENG-25971

Enable Auto-Complete for Product Attributes

We have introduced the "Enable Auto-Complete for Product Attributes" feature in this release. This enhancement enables digital merchandisers to leverage auto-complete functionality for product attributes, simplifying the process of creating merchandising rules. With this update, users can now benefit from auto-complete support for both product attribute names and values in critical areas, including Rec Restriction & Boosting rules, Manual Merchandising rules, Strategy rules, and Segment Builder.

Jira: ENG-25961

Enhanced Search Performance Metrics: New Metrics Added to Find Reporting

We have added new metrics to the Find Reporting feature in this release. As a Digital Optimization Manager, you can now access and analyze key performance indicators to measure the effectiveness of your search functionality. The new metrics include % Visits using search, Search queries with results, CVR (Conversion Rate), AOV (Average Order Value), RPV (Revenue Per Visit), Average Number of queries per visit, and Exit Rate (Bounce Rate). These metrics provide valuable insights into search performance and enable data-driven decision-making. Visualizations for the selected metrics are also available, enhancing the reporting experience.

Jira: ENG-25858

Value Assessment Test Type for Experience Optimizer

We are pleased to announce the addition of a new test type called Value Assessment to our Experience Optimizer feature. This test type enables Optimization Managers to assess the value of multiple strategies playing in a specific placement on the item page. By directing a small percentage of traffic to a commonly viewed strategy, Optimization Managers can gain valuable insights for optimizing their strategies.

In addition, the test automatically includes a control group and one treatment group. The control group represents the normal behavior of Experience Optimize, while the treatment group utilizes predefined strategies such as ClickCP and CategoryTopSellers.

Jira: ENG-25850

Product Comparison Configuration Page

In this release, we have introduced Product Comparison Configuration page, a powerful tool designed to enhance the product comparison functionality within our eCommerce platform. This new feature empowers eCommerce Product Managers to configure and customize the product comparison chart for their placements, providing a seamless and intuitive user experience.

Product Managers can now easily set up the necessary parameters for attributes in the comparison chart. The configuration page allows for specifying the maximum number of shared attributes to be included in the API response. It also enables Product Managers to select the desired placement for the product comparison.

Jira: ENG-23275

Enable New Social Proof in Menu

In this release, we are introducing the "Social Proof" menu in the main dashboard menu, providing digital optimization users with direct access to valuable social proof messaging capabilities.

To enable this feature, administrators can navigate to Admin > Site Configurations RR > Other Site Configurations > Social Proof API Service Enable and enable the social proof functionality. Once enabled, the "Social Proof" menu label will be displayed in the dashboard main menu, appearing after the Search/Browse options.

Jira: ENG-26242

New Social Proof - Reporting Enhancements

In this release, we have made significant enhancements to the reporting capabilities of the New Social Proof campaigns. Digital Optimization Managers can now access comprehensive reporting details, eliminating the need for dynamic experiences in their product portfolio. The reporting includes visualizations for metrics, lift and confidence levels for variations compared to the base variation, and additional raw metrics such as View Converted Visits and View based ATC Visits. Furthermore, click-related metrics have been excluded from social proof reporting as they are not relevant.

Jira: ENG-25648

Extended Social Proof Intervals

We have extended the interval options for Social Proof messaging to include 2-week, 3-week, and 4-week durations, based on client feedback. This enhancement allows Digital Optimization Managers to showcase social proof for products with lower sales volume, going beyond the previous 7-day limit. The data for these intervals is accurately populated, enabling effective testing and improved customer trust.

Jira: ENG-26347

Select Recent Products as Seeds in Preview

In the Advanced Merchandising rule preview, digital merchandisers can now see more recent products as seeds. Previously, the selected seeds were often outdated or inactive due to sorting by internal product ID in ascending order. With this improvement, seed products are now selected based on internal product ID in descending order, prioritizing more recent products. The response of the getSeeds call includes products with recent release dates, ensuring that most of the products are recommendable.

Jira: ENG-26116