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.

931 results

  1. A General Overview of SAP Analytics Cloud

    Published: 18/August/2020

    Reading time: 7 mins

    Managing multiple reports, charts, tables, and models in a single environment and with real-time data from multiple sources can be challenging. Over the years SAP has designed multiple tools to support these tasks and help business users identify trends and behaviors. Most recently, SAP Analytics Cloud was created to provide a unified and secure public…

  2. SAP Sovereign Cloud

    Data Management Tools in SAP EIM Portfolio: Part 1

    Published: 24/July/2023

    Reading time: 6 mins

    SAP Enterprise Information Management (EIM) solutions are designed to revolutionize the way organizations manage their data. SAP Enterprise Information Management portfolio is a comprehensive suite of solutions designed to help organizations effectively manage and leverage their data assets. It includes various data management tools and technologies that address the key aspects of information management, including…

  3. AI in SAP: Why “start smart, not big” is the winning strategy

    Reading time: 3 mins

    Amid the rapid evolution of AI within the SAP ecosystem, businesses are advised to proceed cautiously by starting with pilot projects to validate value, ensuring data integrity, and remaining aware of the technology’s maturing landscape.

  4. SAP Integrated Business Planning for Sales and Operations: Q&A on How to Optimize Demand and Supply Planning and Increase Profitability

    Published: 01/April/2016

    Reading time: 24 mins

    When it comes to your supply chain, accuracy, efficiency, swift and informed decision making, and timely responses and adjustments to market and business changes are critical — but a lack of communication between sales, marketing, finance, and operations can be a significant impediment to these goals. The ability to effectively and simultaneously evaluate data from…

  5. Diagnostic equipment

    Medical Equipment Manufacturer Prevents Equipment Shortages During COVID-19 Outbreak

    Published: 13/April/2020

    Reading time: 5 mins

    This SAPinsider case study shares how a large global diagnostic medical equipment manufacturer implemented business contingency plans to prepare for the increased demand and disrupted supply chains caused by the COVID-19 crisis. Membership Required You must be a member to access this content.View Membership LevelsAlready a member? Log in here

  6. Promotion Planning SAP IBP

    Promotion Planning and Management with SAP IBP

    Published: 18/August/2022

    Reading time: 2 mins

    Demand forecasting was highlighted as a key challenge in SAPinsider's recent research Supply Chain Planning in The Cloud. The quality of forecasts also plays a key role in inventory management, which has emerged as another key focus area for SAPinsiders. We will also publish a research report focused on this specific topic of inventory management…

  7. SAP Cloud ALM – The essential tool for any SAP Cloud implementation

    Reading time: 3 mins

    After over 20 years of experience with SAP, I’ve found SAP Cloud ALM to be an efficient, user-friendly tool for managing the entirety of SAP projects, providing integrated project management capabilities, real-time visibility, and cost-effective solutions that enhance collaboration and streamline SAP S/4HANA implementations.

  8. Why Your E-Commerce Architecture Needs SAP Commerce Cloud at Its Core

    Reading time: 4 mins

    Businesses in digital trade must constantly innovate to stay ahead of the competition and provide the greatest consumer experiences. This modification involves SAP Commerce Cloud and modern e-commerce architecture. SAP Commerce Cloud’s cloud-native technology allows organisations to develop, leverage multiple platforms, and acquire customised data. Modern enterprise e-commerce with SAP uses microservices, headless commerce, and API-first to adapt…

  9. Case Study: Securely avoid short circuits in SAP applications

    Reading time: 2 mins

    AT&S addressed critical issues in their SAP Change and Transport Management by implementing REALTECH SmartChange, which streamlined processes, improved coordination among globally distributed developers, and reduced risks associated with system overtakes and conflicts.

  10. Woman with tablet working with AI brain

    SAP Build Putting Developers in the Drivers’ Seat

    Published: 07/November/2025

    Reading time: 3 mins

    SAP unveiled new AI-driven capabilities for SAP Build and the SAP Business Data Cloud at TechEd 2025, enhancing developer flexibility with integrations like Cursor and Claude Code, and aiming to equip 12 million professionals with AI training by 2030.