Customer Insights, Customer Service Insights, Supply Chain Insights, ... Microsoft is adding lots of new features in Dynamics 365 using AI in many ways. Let's take some time to review the most significant ones and explore what is already or will be available soon that will improve the way you are working personally or as a team in your day-to-day activities. We will together introduce each of these opportunities to improve our work in some real scenarios and business cases.
16. Canadian Cloud Summit
Dynamics 365 AI
Dynamics 365 Customer Insights
Gain a 360-degree view of customers and
discover insights that drive personalized
customer experiences.
Dynamics 365 Fraud Protection
Help protect your e-commerce business—
and your customers—against fraud and
improve your shopping experiences.
Dynamics 365 Connected Store Preview
Make your retail stores more efficient and
engaging by turning observational data into
insightful recommendations.
Sales Insights Add-in for Dynamics 365
Sales
Increase sales and improve decision making
with AI-powered insights fueled by customer
data.
Customer Service Insights Add-in for
Dynamics 365 Customer Service
Leverage AI-driven insights to make better
decisions and proactively improve customer
satisfaction with confidence.
Out-of-the-box applications
Addon functionalities
17. Understand
Customer Data Platform
Customer Insights
Customer
Voice
Orchestrate
Customer Journey Orchestration
Real-time Journey Orchestration
Real-time Personalization and Recommendation
Content
Experiment
Engage
Omni-channel
Digital / Direct Human-assisted Interactions
Marketing Commerce
Virtual
Agent
Mobile &
Web SDK
Sales Service Power App
HUMAN-EXPERIENCES
Email Mobile
SMS Voice Web Ads
Social In-store
Events
Data and AI to Optimize Customer Experiences
Leverage
Customer Insights data and AI for 1:1 hyper-
personalized experiences
1.
Respond
In moments that matter with real-time, event-
based orchestration
2.
Activate
End to end experiences across all customer
touchpoints
3.
Self-learn
Data and AI driven, self-learning and next best
journey action optimization
4.
Piecewise additive value to your existing systems and even better together.
25. Personalized calls, connected across channels
Unified insights across all customer interactions
Easy to start, easy to scale
26.
27. Customer Journey Orchestration / Real-time Marketing
Leverage
1.
Respond
2.
Segments from Customer Insights are usable
everywhere
Customer Profiles can be used everywhere – in
place of Dataverse entities
1. In the box event triggers for common
scenarios across Dynamics
2. Easily create an event trigger from any
Dataverse CRUD operation
3. Create custom events with a few lines of
code that can trigger journeys from any
connected system
4. Built upon Power Automate to leverage
that ecosystem of connectors
Activate
3.
28. Customer Journey Orchestration / Real-time Marketing
AI Channel Selection
Self-learn
4.
Asset recommendations
AI image tagging
Natural Language Conditions Smart Scheduling
Content Ideas
29. Empowering The Future of Customer Experience
Drive personalized interactions across the customer journey
2. Personalize experiences with AI
1. Engage customers in real-time
4. Build customer trust with a
unified, adaptable platform
3. Win customers and earn
loyalty faster
35. 1st, 2nd and 3rd tier supplier
External risk data providers
and news aggregators
ERP(s)
Inventory System(s)
Finance System(s)
Other Apps / Systems
Warehouse
management system
Supply Chain
Insights
36. 1st, 2nd and 3rd tier supplier
External risk data providers
and news aggregators
ERP(s)
Inventory System(s)
Finance System(s)
Other Apps / Systems
Warehouse
management system
Built on the
Power Platform
38. 1st, 2nd and 3rd tier supplier
External risk data providers
and news aggregators
ERP(s)
Inventory System(s)
Finance System(s)
Other Apps / Systems
Warehouse
management system
Supply Chain
Insights
41. External risk data providers
and news aggregators
1st, 2nd and 3rd tier supplier
ERP(s)
Inventory System(s)
Finance System(s)
Other Apps / Systems
Warehouse
management system
Supply Chain
Insights
42. 1st, 2nd and 3rd tier supplier
External risk data providers
and news aggregators
ERP(s)
Inventory System(s)
Finance System(s)
Other Apps / Systems
Warehouse
management system
There’s lots of data but that data isn’t accessible in a scalable way
Take for example going to the car dealership – you may browsed online for hours, even made the appointment through the website and are buying your 3rd model from that same auto maker yet when you walk into the dealership, they don’t know anything about you
Imagine you can understand your customers and you can bridge the digital and physical – you have mere moments to make an engagement matter and you need a system that is going to enable you to do that
Finally, every department is building up the ability to build relationships and empathy at scale through automation in a disparate way resulting in broken experiences
Supervised: All data is labeled and the algorithms learn to predict the output from the input data.
Classification: A classification problem is when the output variable is a category, such as “red” or “blue” or “disease” and “no disease”.
Regression: A regression problem is when the output variable is a real value, such as “dollars” or “weight”.
Unsupervised: All data is unlabeled and the algorithms learn to inherent structure from the input data.
Semi-supervised: Some data is labeled but most of it is unlabeled and a mixture of supervised and unsupervised techniques can be used.
Three pillars – Understand – orchestrate – engage
Understand – pull together all of your customer data and make sense of it, combined with customer voice you not only understand who your customers are and what they are doing but also how they are feeling
Orchestrate – using that customer data you can scale relationship building and empathy and you can do so as you
Engage – through all digital and human assisted channels
Piecewise additive – adding value to the systems you have today without having to replace what you have but also work together to do even more
Customer journey orchestration is not an app, it’s a part of marketing today although not limited to marketing scenario – it has 4 key value props
4 key value props
Let’s make this more tangile
Leveraging for personalization – anywhere you need customer data, of course you can use dataverse but if you have Customer Insights, you can leverage the unified profiles, segments, predictions, and insights in a first class way
Segments show up from Customer Insights as soon as they are created and Customer profiles can be used for journey control, decisioning, and personalization
#2 Respond and # Activate – key piece to the puzzle is our event triggers and catalog that allow you to trigger a journey based on what a customer is doing
#4 self-learn
Number of great AI features in marketing, couldn’t put them on one slide
Help you get to your best content faster
Our goal is to build the future of customer experience and empower every company deliver the experience that customer now demand.