We’re pleased to announce the launch of Attribute-Based Slotting (ABS) for Recommendation Rules. This new feature allows dashboard users to create more dynamic, flexible product recommendations by defining a filtered set of products for specific slots in a recommendation pod, instead of manually choosing a single product for a position. ABS allows Constructor’s AI to pick the best item from the defined set based on attractiveness and relevance, streamlining the process of setting up pods and enhancing business KPI results. One of the most popular use cases for this feature is building bundles for pods without having to slot individual products, for example matching the pants, jacket, and accessory that matches the shirt the shopper is viewing. 

To use ABS, set up a filter for the type of product you want in a specific slot, such as a brand or product type, and let the AI do the rest. When creating a new slotting rule in the dashboard, choose “by attribute” instead of “by item,” then define the facet expressions for the filter. This gives you the flexibility to ensure that your recommendations are always up-to-date, even if individual products go out of stock or change. 

This feature is applicable across all verticals, from apparel to electronics, and helps reduce the time spent managing slotting rules while increasing key performance indicators (KPIs). By leveraging AI, ABS ensures that the most attractive and relevant products are shown to customers, improving their shopping experience, and boosting conversions. 

Please feel free to submit any questions or feedback to your Customer Success Manager or contact us directly at support@constructor.io. We’re always here to help!