1 November 2024
Here is an overview of some of the updates since the last product news.
Ecommerce Search
Targets
Ecommerce Search now supports Targets as part of client request, adding the ability to select a specific context (see also business rules) based on the target criteria provided. This context is then used to shape the search response by applying commercial sorting, boosting, facets, and more.
Targets enable a variety of use cases, including:
- Promotional Prioritisation: Emphasise campaigns like Black Friday.
- Personalisation: Tailor responses to demographics, such as gender-specific product displays.
- Split Testing: Apply varied sorting and boosting to test and optimise conversions.
- Device-Specific Results: Customise search results for mobile versus desktop experiences.
For more details, see the full documentation on Bizzkit Targets.
PIM
AI product placement suggestions
Bizzkit PIM introduces AI-powered product placement suggestions to simplify categorisation. Integrated directly into the PIM UI, the Bizzkit AI Assistant (BAIA) provides smooth, AI-based recommendations on suitable product categories.
After a quick, one-time setup, BAIA suggests placements based on product details. Users can easily review, adjust, and approve these category recommendations, ensuring accurate alignment with inventory needs.
Here is a video showing the feature in action:
This functionality streamlines categorisation workflows, making it both efficient and adaptable to individual preferences.
For more information, see the full documentation on AI product placement suggestions.
BAIA
Favorite recipes
The Favourite Recipes feature in BAIA allows users to save frequently-used recipes, enabling quick access to commonly used AI functions and workflows. Once saved, favourite recipes are readily accessible from within the Bizzkit interface, making it easier to streamline repetitive tasks and maintain consistency in process execution.
For further details, refer to the full documentation on BAIA favourite recipes.