Product Recommendations,

Personalization, and

Discovery

Presented by:

Boris SokolovSenior Program ManagerDynamics 365 Commerce

Moderated by:

Benita BealeProgram ManagerDynamics 365 Commerce

Agenda

Why AI/ML Recommendations?

Why are Recommendations Important?

https://www.einfochips.com/blog/5-ways-to-utilize-artificial-intelligence-in-retail-for-enhancing-in-store-customer-experience/

• Across the Industry

• Microsoft Store

Investing in a Future that Works!

Retailers are adopting AI & Machine Learning systems for Recommendations, Personalization, and Discovery at an

increasing pace. Those empower them to drive more consumer engagement and higher revenue at a significant scale.

https://www.mckinsey.com/industries/retail/our-insights/how-retailers-can-keep-up-with-consumers

https://www.mytotalretail.com/article/4-ways-ai-is-transforming-e-commerce-businesses/

What Recommendations have we

built?

Microsoft’s Approach

Present shoppers with great choices for a satisfying experience

that increases revenue, increases repeat visits, and grows average

order values for Retailers.

Recommendations in action at Microsoft

User behavior is used to drive relevant discovery. Including cross-sell and upsell, in any UX context.

Home Page Product Details Page Cart / Checkout

Recommendations in action at Microsoft

User behavior is used to drive relevant discovery. Including cross-sell and upsell, in any UX context.

Rich Browse Experience

World Class AI-ML Research

In Dynamics 365 Commerce?

Seamlessly Integrated in Dynamics 365 Commerce

• Purchase License & Microsoft engineers will handle the provisioning

• Feature Management in HQ

• Leverages data in customer’s Azure Data Lake Gen 2

• Respects Assortments, Channels, Categories, and Catalogs

Omni-Channel Recommendations Lists

People Also Like

Frequently Bought Together

Personalized Recommendations

Model allows for personalization of

any Recommendations list.

GDPR compliant, including

support for opt out.

New

Bestselling

Trending

Empowering Creativity

Customer is in Control

Omni-channel Recommendations – Point of Sale

Omni-channel Recommendations – Point of Sale

Omni-channel Recommendations – Point of Sale

Importance of Data

“People also buy” AI-ML list based on transactions

“Frequently bought together” AI-ML list based on orders

“Picks for you” AI-ML list based on transactions

“New” chart based on assorted date field

“Best Selling” chart based on transactions

“Trending” chart based on transactions and assorted date field

Common pitfalls and mistakes

Preview Features?

Public Preview

Shop Similar Looks

Shop Similar Description

Citta Design

Seed item: Boris The BadgerHere comes Boris the Badger, dressed to impress in a natty houndstooth scarf. Normally a

forest dweller, he's excited to come in from the cold and snuggle up with a new friend.

Basil is a terribly English brown fox, so once he's a member of the household, you can be sure the

children are learning impeccable manners.

Brucie the big foot bunny is equal parts feet, ears and naughtiness. With a twinkle in his eyes,

he's just waiting to share the mischief with a formerly well-behaved child. Don't say you weren't warned.

Seed item: Love CardThis Love Card is just one of a witty and whimsical collection of greeting cards, gift tags and

stationery imagined up by the Citta design team.

This Rainbow Gift Card is just one of a witty and whimsical collection of greeting cards, gift tags

and stationery imagined up by the Citta design team.

Whoopee! This Celebration Card is just one of a witty and whimsical collection of greeting

cards, gift tags and stationery imagined up by the Citta design team.

Seed Product:

14 Hands Columbia Valley 2018 Rosé

This Syrah-based Rosé opens with delicate aromas of rose petals and rhubarb. Refreshing flavors of melon and

strawberries are followed closely by a kick of citrus in the finish.

How to showcase Recommendations with content

• Allows for quick setup of recommendations in evaluation and single box

environments.

• Great for cases when access to customer data is not yet accessible.

• For demonstration purposes only, cannot be run in Production.

Public Documentationhttps://docs.microsoft.com/en-us/dynamics365/commerce/product-recommendations

Q & A

Additional Resources

ARTICLES

Dynamics 365 Commerce architecture overview https://aka.ms/CommerceArchitecture

Setup an online channel https://aka.ms/CommerceSetupOnlineChannel

E-Commerce site overview https://aka.ms/CommerceECommerceSiteOverview

Online channel extensibility https://aka.ms/CommerceOnlineChannelExtensibility

Configure theme style presets https://aka.ms/CommerceConfigureStylePresets

CONTACT

SERIES

RELEVANT

TALKS

Commerce Overview https://aka.ms/CommerceTechTalkOverview

Commerce Architecture Overview https://aka.ms/CommerceArchitectureOverviewTalk

E-Commerce Architecture Deep Dive https://aka.ms/CommerceECommerceArchitectureDeepDive

Creating a new E-commerce Web Site https://aka.ms/CommerceCreateECommerceWebSite

Set up a B2C Tenant for E-Commerce Site https://aka.ms/CommerceSetupB2CTenant

Branding your e-Commerce site https://aka.ms/CommerceBrandingSite

How to extend Dynamics 365 e-Commerce https://aka.ms/CommerceExtendECommerce

Commerce Yammer Group https://aka.ms/CommerceYammerGroup

Commerce Forums https://aka.ms/CommerceForums

Unlock the Power of Dynamics 365 Commerce https://aka.ms/CommerceTechTalkSeries

Thank you.