Product Recommendations, Personalization, and Discovery
Transcript of Product Recommendations, Personalization, and Discovery
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.