SAP Smart Sensing


What Is Smart Sensing?

Sensors have been used in industry for decades to capture specific parameters like temperature. Smart sensors are an evolution of legacy sensors and leverage recent advances in technologies like Internet of Things (IoT) and cloud. Unlike a traditional sensor, a smart sensor can perform advanced tasks such as data conversion, data processing, analytics, and communicating with external devices and the cloud. Many smart sensors can do self-assessment and self-calibration, making them an essential part of digital twins. The data from smart sensors can be leveraged for a plethora of applications, like predictive planning.

What Is Smart Sensing?

Sensors have been used in industry for decades to capture specific parameters like temperature. Smart sensors are an evolution of legacy sensors and leverage recent advances in technologies like Internet of Things (IoT) and cloud. Unlike a traditional sensor, a smart sensor can perform advanced tasks such as data conversion, data processing, analytics, and communicating with external devices and the cloud. Many smart sensors can do self-assessment and self-calibration, making them an essential part of digital twins. The data from smart sensors can be leveraged for a plethora of applications, like predictive planning.

What Is SAP Smart Sensing?

Smart sensing is a capability within the SAP Internet of Things offering that leverages SAP Fiori to identify and track physical objects maintained in SAP S/4HANA. The identification and tracking is done primarily by scanners and smart sensors. Compared to classic IoT scenarios, the SAP smart sensing approach brings the following advantages:

  • Tracking of single events rather than recording of continuous data streams significantly reduces the amount of data to process.
  • Using auto-ID tags instead of sensors reduces costs.
  • Tagging of single items that are part of a delivery or a handling unit allows for a finer granularity and higher precision of the data collected.

While the applications can span multiple functions, a key function that can leverage smart sensing extensively is supply chain. With the help of smart sensors and other technologies like artificial intelligence and machine learning, organizations can build smart, kinetic supply chains, as highlighted in this webinar.

Key Considerations for SAPinsiders

SAP smart sensing is a robust capability to help organizations build components of the intelligent enterprise. However, there are certain key aspects that SAPinsiders need to keep in perspective when embarking on this journey:

Understand the difference between conventional and smart sensors. As mentioned earlier, sensors have been used in industry for a while, but smart sensors take this capability much further. Understanding the “smart” aspect of sensors will allow you to understand where and how to use them.

Think beyond just tracking. While there is no doubt that smart sensors can help track flows or processes in real time, the data often captured by these sensors can be used extensively for generating additional insights. Key advanced analytics approaches like simulation, optimization, and predictive analytics can be leveraged using this data to generate new insights for organizations.

Think end-to-end. A powerful capability of smart sensors is that they can be used to build end-to-end solutions, specifically in process intense functions like supply chains. You can design end-to-end solutions to make your enterprise more resilient and agile.

925 results

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    Published: 30/May/2013

    Reading time: 6 mins

    – Use ABAP code to create a utility that allows you to generate a Smart Forms Navigator similar to the Object Navigator, transaction SE80. This code lists all those Smart Forms that have been defined in a package. The list is comprised of a tree structure. Key Concept To navigate through all Smart Forms of...…

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    The Art of Forecasting

    Published: 26/April/2022

    Reading time: 5 mins

    What is Demand Sensing? Demand sensing is new to most organizations. It is a forecasting method that uses real-time information and mathematical techniques to create an accurate forecast of demand; based on current supply chain realities. The objective is to overcome latency issues, allowing planners to better anticipate short-term changes in demand. If “art” can…

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    Published: 23/October/2013

    Reading time: 6 mins

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  4. Case Study: Learn how Arla Foods integrated SAP IBP Demand Sensing in Short-term Demand Planning

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  6. Create Versatile HR-Related Forms in HR Forms Workplace

    Published: 10/June/2011

    Reading time: 21 mins

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  7. SAP Data Services Part 3: How to Extract, Transform, and Load Data into SAP HANA

    Published: 12/June/2017

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  8. SAP Data Services: How to Extract, Transform, and Load Data into SAP HANA

    Published: 12/June/2017

    Reading time: 15 mins

    Examine and compare the classic SAP Data Services approach for extracting, transforming, and loading (ETL) processes to the functionality that is native to SAP HANA to determine optimal integration.

  9. Make Smarter Business Decisions

    Published: 19/October/2020

    Reading time: 7 mins

    Augmented analytics is defined by Wikipedia as an approach to analytics that employs the use of machine learning and natural language processing to automate analysis processes typically done by data scientists. Smart Assist is a collective group of features that enable augmented analytics to occur in SAP Analytics Cloud. The Smart Assist portfolio enables features…

  10. ABAP Development Chat

    Published: 01/May/2017

    Reading time: 21 mins

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