Product Recommendations, Personalization, and Discovery

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Product Recommendations, Personalization, and Discovery Presented by: Boris Sokolov Senior Program Manager Dynamics 365 Commerce Moderated by: Benita Beale Program Manager Dynamics 365 Commerce

Transcript of Product Recommendations, Personalization, and Discovery

Page 1: 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

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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.