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Product Recommendations,
Personalization, and
Discovery
Presented by:
Boris SokolovSenior Program ManagerDynamics 365 Commerce
Moderated by:
Benita BealeProgram ManagerDynamics 365 Commerce
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Agenda
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Why AI/ML Recommendations?
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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
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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/
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What Recommendations have we
built?
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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.
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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
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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
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World Class AI-ML Research
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In Dynamics 365 Commerce?
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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
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Omni-Channel Recommendations Lists
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People Also Like
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Frequently Bought Together
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Personalized Recommendations
Model allows for personalization of
any Recommendations list.
GDPR compliant, including
support for opt out.
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New
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Bestselling
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Trending
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Empowering Creativity
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Customer is in Control
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Omni-channel Recommendations – Point of Sale
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Omni-channel Recommendations – Point of Sale
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Omni-channel Recommendations – Point of Sale
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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
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Common pitfalls and mistakes
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Preview Features?
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Public Preview
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Shop Similar Looks
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Shop Similar Description
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Citta Design
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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.
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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.
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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.
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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.
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Public Documentationhttps://docs.microsoft.com/en-us/dynamics365/commerce/product-recommendations
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Q & A
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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
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Thank you.