Product Recommendations in POS
Important
This content is archived and is not being updated. For the latest documentation, see Microsoft Dynamics 365 product documentation. For the latest release plans, see Dynamics 365 and Microsoft Power Platform release plans.
| Enabled for | Public preview | General availability |
|---|---|---|
| End users by admins, makers, or analysts | - |  Nov 1, 2019 |
Business value
Product Recommendations is a transformative business application that spans all retail spaces to create rich, engaging, and tailored product discovery experiences. Product Recommendations enables customers to easily and quickly find products they need and want (relevant), find more than they had originally intended (cross-sell, upsell), all the while having an experience that serves them well (satisfaction). For retailers, the discovery is powered by a variety of technologies at large scale (ML-AI, algorithms, humans, or a hybrid) that create conversion opportunities across all customers and products, resulting in more all-up sales revenue and end-customer satisfaction.
Feature details
The Product Recommendations service uses transactions data and product information to generate machine learning and trending lists appropriately scoped for the respective retail channel.
Types of recommendations lists and specific examples include:
Transaction screen recommendations: “Frequently bought together” list.
Product details page (PDP) recommendations: contextual “Recommended Products” list, leveraging the product as seed.
Personalized customer details page recommendations: contextual "Recommended for customer" list, providing authenticated users a personalized list of suggested products called based on their purchase history (omni-channel).
All of the lists have the capability for retailers to make amendments to include specific products at the beginning of the list or exclude unwanted items. This functionality combines the power of AI with human knowledge.
By making omnichannel recommendations available, retailers can increase sales revenue and user satisfaction by providing an easy product discovery experience for shoppers.