Make informed decisions with product recommendations
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.
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
May 1, 2023 |
Sep 1, 2023 |
Business value
With digitization, consumers are looking for shopping experiences that are engaging, personalized, frictionless, and omnichannel. At the same time, retailers are trying to increase conversions, generate higher average order amounts, foster a loyal customer base, and boost revenue. An intelligent product recommendation system enables retailers to meet the engagement aspirations of the modern consumer while also helping retailers to leverage their potential spending fully. Autonomous stores are at the forefront of providing a frictionless checkout experience to shoppers while capturing a wide variety of granular data on shopper behavior that offers grounds for strong product recommendations.
Feature details
The product recommendations capability will involve the following:
Extend retail data template on Microsoft Azure Synapse Analytics to support relevant entities and attributes.
Build and enhance current product recommendation AI algorithm to leverage additional data sources.
Plug into Microsoft Cloud for Retail Smart Store Analytics so that:
AI algorithms leverage data from autonomous stores.
Models return insights to Smart Store Analytics service.
Smart Store Analytics UI provides product recommendation insights to consumers.
Microsoft Azure Data Factory pipeline provides insights to retailers.
See also
Frequently bought together (docs)