Hey, yes of course, Let's say I have a fairly standard e-commerce catalog with some denormalized fields: •

brandOrder

, •

price

, •

analyticsProductViews

, •

catalog

array field (which is a list of `catalog_id`s the product belongs to), • and a

product_id

, of course In Algolia Merch Studio, you can create merchandising rules that get triggered under certain conditions (for example:

catalog.id := 123

, or more complex triggers based on filter_by for example), and apply a set of merchandising actions dynamically — such as sorting by

price

,

brandOrder

, pinning specific `product_id`s, hiding others, etc. So when a query is made (e.g. for a given catalog ID), if a configured trigger applies, the merchandising rules are applied on the fly. This gives business teams a lot of autonomy — as long as the data is clean and indexing is complete, they can work independently