Use frequently bought together model
Important
This content is archived and is not being updated. For the latest documentation, go to What's new in Microsoft Cloud for Retail. For the latest release plans, go to Dynamics 365, Power Platform, and Cloud for Industry release plans.
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
Jan 1, 2024 |
Jun 2024 |
Business value
The frequently bought together model is a data-driven tool that helps retailers make decisions on product placement and promotions based on insights on closely related products. It identifies the combinations of products that are most often bought together, revealing associated products that could be placed closer together to promote cross-selling activity and boost joint sales.
Retailers can compare frequently bought together revenues to measure the performance of promotion action, seasonality, and new shelf assortment by comparing two different time periods. They can also compare customer behavior by comparing different stores of different geography, population, and surface area, and product groups that drive more revenue by comparing items.
Feature details
The frequently bought together model empowers the store or merchandising manager to make data-driven decisions on products’ placement and promotions. The frequently bought together model identifies the combinations of products that are most often bought together.
Upon deployment of frequently bought together, you find the following items in your Microsoft Fabric workspace:
- Lakehouse with tables, which are a subset of the retail data model.
- Prepopulated sample data in the Lakehouse tables for a fast-onboarding experience.
- Notebook (name: Frequently bought together model).
- Power BI report (name: Frequently bought together on retail data solutions report).
After you successfully deploy frequently bought together, you can configure the model to generate insights on the data available in the Lakehouse. The Microsoft Fabric notebook gives you the flexibility to execute the model in your own cadence, connect with input data anywhere in Microsoft Fabric, fine-tune the model parameters for specific customizations, and choose how to visualize the results.