AI driven recommendations and discovery in Dynamics 365 Commerce
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The document discusses recommendations and discovery in Dynamics 365 Commerce. It describes how recommendations are being used across industries to increase engagement and revenue. It then provides details on the different types of recommendations that can be generated in Dynamics 365 Commerce, including people also buy, frequently bought together, picks for you, new, bestselling, and trending. It also discusses how recommendations are integrated and can be used across various touchpoints like e-commerce pages, point of sale, etc.
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AI driven recommendations and discovery in Dynamics 365 Commerce
- 1. Global AI Bootcamp 14 Diciembre del 2019
- 2. AI Recommendations and Discovery in Dynamics 365 Commerce Juan Rafael @jlc_rve
- 3. Microsoft Dynamics 365 Common application platform: PowerApps, Microsoft Flow, Common Data Model Microsoft AppSource Dynamics 365
- 4. Agenda Why Recommendations? What Recommendations? How Recommendations (in Dynamics 365 Commerce)? Demos Q & A
- 6. Across the Industry https://www.mytotalretail.com/article/4-ways-ai-is-transforming-e-commerce-businesses/ https://www.mckinsey.com/industries/retail/our-insights/how-retailers-can-keep-up-with-consumers Retailers are leaning stronger than ever towards Recommendations and Machine Learning intelligent systems to drive more consumer engagement and higher revenue.
- 8. 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
- 9. Recommendations in action in Microsoft Landing Page Product Details Page Cart / Checkout User behavior is used to drive relevant discovery. Including cross-sell and upsell, in any UX context.
- 10. World Class AI-ML Research Team
- 12. Omni-Channel Recommendations Lists • “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
- 13. People Also Buy Machine Learned list using consumers transactions to show recommendations in the context of a single product. Driving comparison shopping and increase in consumer engagement.
- 14. Frequently Bought Together Machine Learned list using consumers multi-item orders to provide recommendations in the context of the current consumer’s cart. Driving increase in average order value.
- 15. Picks For You Machine Learned list based on consumers transactions provides personalized recommendations for the signed in consumer. GDPR compliant, including support for consumer opt out. Model allows for personalization of any Chart and ML list.
- 16. New Chart shows all newly available products in an environment, ordered from most to least recent. Driving novel discovery.
- 17. Bestselling Chart shows the all-time best-selling products in an environment, ordered from most to least performing. Driving discovery via popular content.
- 18. Trending Chart shows the best-selling products in a recent period, ordered from most to least performing. Driving discovery with in-vogue content.
- 19. Additional Capabilities • Respects Assortments, Channel, Category, and Catalog out of the box • Customers can adjust algorithms’ configuration • Support for Algo / ML List manual modifiers
- 20. Seamlessly integrated in Dynamics 365 HQ • Enable / Disable Product Recommendations • Enable / Disable Personalized Recommendations • Create and manage Editorial lists
- 21. Expressive User Experience in E-commerce • In E-commerce: • Discovery Pages • Product Display Page • Cart Pages
- 22. Expressive User Experience in E-commerce • In E-commerce: • Discovery Pages • Product Display Page • Cart Pages
- 23. Expressive User Experience in E-commerce • In E-commerce: • Discovery Pages • Product Display Page • Cart Pages
- 24. Bonus Examples • Newest Hats New Chart with applied Category • Bestselling Menswear for You Personalized Bestselling Chart with applied Category • Like 2014 Col Solare Cabernet Sauvignon wine People Also Buy with specified seed product
- 25. Compelling Recommendations in Point of Sale • In Point of Sale: • Product Details Screen • Transactions Screen • Customer Details Screen
- 26. Compelling Recommendations in Point of Sale • In Point of Sale: • Product Details Screen • Transactions Screen • Customer Details Screen
- 27. Compelling Recommendations in Point of Sale • In Point of Sale: • Product Details Screen • Transactions Screen • Customer Details Screen
- 28. 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
- 30. Everything to build and run digital commerce
- 31. Build loyalty and exceed customer expectations
- 32. Scalable, reliable, secure, and compliant
Editor's Notes
- What makes Dynamics 365 unique is that it harnesses the power of One Microsoft. Deep integration between Dynamics 365 and Office 365 brings together the two worlds of business process and personal productivity. We surface familiar tools like Excel and Word within the context of business processes, significantly increasing productivity and decreasing context switching. Power BI and Cortana Intelligence are natively embedded into Dynamics 365 business applications for predictive insights, prescriptive advice and actionable next steps. Additionally, Azure IoT brings device data to enable preemptive action in business functions like field service. Businesses can also adapt and innovate in real-time with a common data model and an extensible business application platform, including PowerApps, Flow and Power BI Embedded. Microsoft AppSource has also been introduced, allowing business users to easily find and evaluate line of business SaaS applications from Microsoft and our partners, across Dynamics 365, Office 365, Cortana Intelligence and the Azure platform. EXAMPLES TO ROMANCE ON THE VALUE OF DYNAMICS 365- Data has become the new currency, and organizations create and have access to more of it, and faster than ever before. The challenge is how to transform it into intelligence that generates action and drive outcomes. Dynamics 365 will allow organizations to adopt individual business apps such as Marketing, Sales, Service and Operations, but as organizations adopt more of the apps, synergies will be unleashed in the form ‘Intelligent Business Processes’. This will help proactively guide employees & customers to generate optimal outcomes. As an example – you can adopt Sales for Salesforce Automation, create quotes with standard prices and so on…. But if you have both the Sales and Operations Apps the pricing that will show up when you quote customers will consider tax rules, pricing & discount calculations from the Operations App, and it will automatically impact the inventory and manufacturing forecasts in the Operations App for more accurate and cost effective planning. Another example could be derived from Project Service Automation. Project teams can use it as standalone app in close alignment with Office 365, but when combined with Operations, the time and expense reports that project members submit, will automatically go to account, HR and Payroll systems, and Project Accounts will be automatically updated for Finance in the Operations App. It sounds basic… but the fact is that the classic delineation between CRM and ERP has created a separation in data and processes. Dynamics 365 breaks down this separation, and our business platform strategy together with CIT and IOT is centered on enabling this to new levels.
- Lista de Aprendizaje automático que utiliza transacciones de consumidores para mostrar recomendaciones en el contexto de un solo producto. Impulsar las compras comparativas y aumentar el compromiso del consumidor.
- Lista de Aprendizaje automático que utiliza pedidos de artículos múltiples de los consumidores para proporcionar recomendaciones en el contexto del carrito del consumidor actual. Impulso de aumento en el valor promedio del pedido.
- La lista de Aprendizaje automático basada en transacciones de consumidores proporciona recomendaciones personalizadas para el consumidor que ha iniciado sesión. Cumple con GDPR, incluido el soporte para la exclusión voluntaria del consumidor. El modelo permite la personalización de cualquier gráfico y lista de ML. Requiere ADLS configurado en el entorno.
- El gráfico muestra todos los productos recientemente disponibles en un entorno, ordenados de mayor a menor. Conducir descubrimiento novedoso.
- El gráfico muestra los productos más vendidos de todos los tiempos en un entorno, ordenados de mayor a menor rendimiento. Impulsando el descubrimiento a través de contenido popular.
- El gráfico muestra los productos más vendidos en un período reciente, ordenados de mayor a menor rendimiento. Descubrimiento de conducción con contenido en boga.
- Sombreros más nuevos Nuevo gráfico con categoría aplicada Ropa de hombre más vendida para usted Chart Cuadro de ventas más vendido con categoría aplicada Me gusta 2014 Col Solare Cabernet Sauvignon vino Las personas también compran con el producto de semilla especificado
- Streamline your business with an end-to-end commerce solution that scales to your needs across traditional and emerging channels. Built-in web authoring and development tools enable you to create engaging and intelligent digital storefronts, while a connected marketing and commerce platform enables seamless management of content, assets, promotions, inventory, and pricing across channels.
- Use herramientas de clientela para obtener una visión integral de su cliente y responder a sus necesidades en todos los niveles de compromiso, en función del perfil del cliente, el historial y las preferencias que fluyen a través de canales físicos y digitales. Empoderar a sus empleados para fomentar relaciones duraderas a través de recomendaciones inteligentes, ideas y programas de lealtad.