Give your advice a reliable product
foundation

Bring products and properties into one dataset. Map the fields once, keep the feed up to date and use the same product source in several Advice flows.

What you can do

Import CSV, XML or JSON

Create a dataset from a feed URL or upload. Use a stable product ID so later imports can update the same products.

Map the fields you need

Map product IDs, titles, prices, images and links to the fields used in advice cards. Keep useful properties available for matching.

Keep feeds up to date

With a feed URL, configure scheduled updates and review the import status. Update timing and availability depend on your plan and source feed.

Reuse one dataset

Link a dataset to multiple Advice flows. Use a product selection per flow when different categories need their own questions and recommendations.

One shoe feed, several Advice flows

A shop has one catalog feed for city shoes and hiking shoes. Keep the product data together and create focused advice for each group.

From feed fields to product advice

A small example of a CSV feed and its field mapping. Use your own product titles, prices, links and properties.

Illustrative example

CSV source

id,title,price,terrain,waterproof
shoe-01,Forest walking shoe,89.95,forest,true
shoe-02,Light city walking shoe,69.95,city,false

Field mapping

Feed field	Use in the dataset
`title`	Product title
`price`	Price
`terrain`	Property: terrain
`waterproof`	Property: waterproof

The title and price appear on product cards. Terrain and waterproofing can be used in matching rules.

Import stable product IDs Read the catalog from a CSV URL. Map id, title, price, image and product link, then inspect a few imported rows.
Use the product properties Keep terrain and waterproof fields for matching. Link the same dataset to the city and hiking Advice flows with their own product selections.
Check the next update Schedule feed updates when your plan supports them. Check the import status and test advice after changes to the source fields.