- Hi, I'm Alyssa Sharp,
a senior program manager in Azure IoT.
I'm excited to show you how Azure Digital Twins
lets you create an intelligent environment,
combining data from all of your IoT devices,
business applications,
and really any other data source
to model, monitor and manage real-world environments.
For this demo,
we will show how Azure Digital Twins modeling capability
surfaces new insights
and keeps the supply chain of a clothing company on track.
As I go through this demo,
I challenge you to think and imagine how
the capabilities of Azure Digital Twins
can be easily transposed or applied to your industry,
your processes,
your environments,
and can ultimately keep your business operating smoothly.
Really, the possibilities are endless.
Let's dive in.
Here is the global view of your suppliers,
manufacturers, transportation,
warehouses and retailers.
By combining data from IoT sensors,
business applications,
third-party sources,
and applying the Azure Digital Twins model,
you get a real-time representation of the health
of your supply chain.
For example, if you want to look at the production in one
of your factories in South America,
you can click on the factory
and important metrics are given.
If you manufacture your own goods,
you're able to view what's happening within this factory.
The efficiency would track the energy consumption
and would pull data from your IoT sensors
so you can make sure that it stays within the level
the company has outlined.
The reliability pulls in data from your ERP system,
showing you if the factory ships on time,
with good quality and within budget.
Open orders will let you quickly see what
the factory is preparing.
An intelligent environment doesn't refer to
a standard building.
If I click into one of our shipments,
I can see the status of our goods and transports.
Tracking each container's location,
temperature and humidity.
I can quickly identify if a product will be damaged
before it even arrives to a retailer.
This particular shipment is scheduled to arrive on time
and is currently within the humidity levels
we need to maintain a good product.
Nobody wants any moldy clothes.
All of this data passes through Azure IoT Hub
and into Azure Digital Twins
where it's combined with all of the business data
you need to provide the cost and context.
Here, in the Azure Digital Twins Explorer,
you can see the model of the supply chain
created using our Digital Twins definition language.
Here we can see how the digital twins are connected
to ultimately create that intelligent environment.
Within each twin,
I have specific metadata captured and then surfaced
on the previous dashboard.
Here is the factory we looked at.
You can see the model on the right side of the screen
showing how the factory is performing.
We can see the reliability,
the efficiency and the open orders.
Same with the shipment.
Here is the digital twin of the shipment heading across
the Indian ocean with all of the associated metadata.
Going back to our global view,
we just received a message on Microsoft Teams
from one of our supplier relationship managers.
Their client is having a problem with a T-shirt shipment
in California.
Because the Azure Digital Twin model
is applied to every aspect of the supply chain,
we can click on the T-shirt product
and immediately narrow down the retailers for this shirt
in California.
Let's click on the retailer
and see their current inventory and past orders.
With Azure Digital Twins flexible modeling capability,
Each model you create will have unique attributes
and metadata.
We can see the retailers past order history
and find the one with the T-shirts.
With the historical data available
and the highlighted supply chain,
we can turn back the clock and see where
the issue might have occurred.
Let's check the transportation of the product.
By clicking this,
I can see the average humidity,
temperature and when the shipment was delivered.
So far, everything looks good.
Let's click into the factory and check
the temperature and humidity levels
during the time the product was created.
If they're off,
this could be a major issue for current clothes
being produced.
So let's see what's happening.
So we're moving from the global intelligence ecosystem
to an intelligent environment
and ultimately to the individual assets.
Within this factory,
we can monitor the production lines remotely
and in real time.
By clicking on each line,
I'll be able to see where the humidity is a problem.
And once we click on the third one,
we can see the temperature and humidity is high.
It looks like this might be the reason
the T-shirts were ruined.
Let's see how the line performed when
the T-shirts in question were created.
Using Azure Time Series Insights,
I can compare the performance of this line
versus the other lines at the same time
to see if the problem occurred previously.
Azure Time Series Insights and Azure Digital Twins
seamlessly connect.
The TSI Explorer shows me the historical performance
of all of the lines during the given time
this order was taking place.
It'll be most helpful to view these as a stacked graph
so I can quickly identify any anomalies.
Now, it's very apparent the humidity and temperature
of this line has been an issue for a while
and we need to take immediate action.
With the Azure Digital Twin model in place,
we can see the product lines and orders
impacted by this particular factory.
The California retail store has about $20,000
in impacted inventory.
The UK store has about 12,000.
We can't afford to have any more shipments ruined,
so we're going to turn this factory offline
until it's able to be fixed.
Using machine learning,
the system can re-route orders from factories
that have the capacity
and the product lines are able to turn green again.
Azure Digital Twins makes it possible
to connect data from sources throughout your entire business
and apply a model
so the data is contextualized
and you can get insights faster.
The flexible modeling capabilities allow you
to create custom models that apply to your individual
and business needs.
And because it's built on Azure,
we offer the scalability and security of
the entire Azure platform.
If you'd like to try this demo out for yourself,
as well as play around with the Azure Digital Twins models
and explore,
visit our GitHub repository at aka.ms/IoTDemos/supplychain.
Thanks for watching.