SAP Internet of Things (IoT)

Connecting things, people and processes − intelligent networking of sensor data and machines with people and processes to map new business processes in a digital world

With SAP on the Internet of Things (IoT)

Machines

People

Processes

Changing customer requirements demand new solutions

The biggest driver for Internet of Things (IoT) applications is the ever-changing customer behavior. Consumers expect a Customer Experience (CX) in all areas of life that they already know from their private lives - simple applications that allow customer-centric processes and business models to be offered.

Renting instead of buying, usage-dependent tariff models and processes such as predictive maintenance allow companies to open up completely new business areas.

Not only sell machines but also matching consumables.
Deliver them automatically based on inventory and current usage.
Let machines schedule their own maintenance.
Keep track of containers and similar mobile objects.
Provide new services based on extensive data from sensors, machines, the Internet, or many other sources.

Exemplary IoT scenarios for your reference

IoT in Service

Machines or devices automatically trigger their own maintenance or support process and provide all the data required for further process steps.

What condition is the device in?
What to do?
Where is the equipment located?
Is an on-site operation necessary?

Spare parts deliveries as well as remote or on-site operations can be carried out as needed within agreed SLAs (Service Level Agreements), up to and including automated crowd-sourcing of suitable service technicians. Data and processes not only your customer service benefits from. With their help, customers improve their asset management and reduce their TCO. As a provider, you increase customer satisfaction, create competitive advantages and tap into new revenue streams.

IoT in logistics

The Internet of Things (IoT) also offers decisive advantages in logistics and supply chain management (SCM).

Deliveries arrive just in sequence thanks to real-time traffic data. In addition to reducing working capital, this facilitates production and replenishment planning and leads to better utilization of logistics hubs - congestion during deliveries is avoided, and undercapacities are identified and compensated for.

IoT scenarios in supply chain management enable the complete automation of these processes. Machines and systems monitor spare parts stocking and the production process and independently reorder goods - for delivery to the right place at the right time.

Demand signals from the market can be processed in the process via IoT in the same way as, for example, seasonal conditions, weather data and much more.

And what is your IoT use case?

Let's find new ways for you and your company in the Internet of Things together.

The Internet of Things (IoT) and SAP

Many of the challenges associated with implementing an IoT scenario can be mapped with SAP standard software, allowing you to fully focus on the business value of the solution.

The basis for all IoT scenarios is the SAP Cloud Platform. It can be used to subscribe to the SAP IoT Service and integrate it into individual solutions. This provides said endpoint for the machine data and corresponding onboarding and management capabilities.

SAP IoT provides a whole range of OData-based APIs with which the instantaneous data but also time series can be evaluated. Advanced analytical evaluation can be done with SAP Analytics Cloud. This standard BI tool is used for visualization but also for statistical analysis.

Connect devices, people and processes with real-time intelligent information from digital IoT platform services and sensor data

Digital Twin

Enrich your IoT data in the business context of connected assets and operators - all based on a unified semantic model.

Rules and events

Turn insights into results with contextually enriched IoT data and events by applying business rules continuously or in batch.

Event-driven business integration

Trigger event-based actions when operations, such as requests or service tickets, are created in the applications.

Analytics solutions for IoT data

Gain real-time insights with your analytics solutions by defining analytics models and aggregations to access IoT data.

Edge Services

Bring operational data into your business context and detect patterns and anomalies in real time. Mass IoT data is stored locally to reduce bandwidth requirements and processed where the data originates.