How AI and SAP Technology Optimize Operations

How AI and SAP Technology Optimize Operations

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By Georgina Watkins

Artificial intelligence (AI) and SAP ERP technologies have been highly instrumental in optimizing and streamlining the operations of many modern companies. Despite the value of these technologies to both scaling startups and large corporations, not all are fully aware of just how AI and SAP are beneficial to their organizations. If you’re having trouble explaining to company decision makers why AI and SAP-enabled digital transformation matters, let’s look at the different specific and inter-connected ways in which these technologies work together to bring out the best in an organization.


Perhaps the most impressive way in which AI supplements SAP applications is through the company’s conversational AI. SAPinsider provides a deeper look into the features of today’s SAP Conversational AI and how using the solution to build a digital assistant can help organizations streamline business processes. Integrated into SAP’s comprehensive software services, this intelligent customer-facing technology can automate the way an organization responds to customer queries and concerns. Through advanced AI algorithms, SAP’s conversational AI system and chatbot feature provides contextually aware responses to customers, which is all possible through the collection and processing of all available business data. Furthermore, through the application of machine learning models, the contextual awareness of this AI can be continuously improved, giving it a greater capacity to intelligently respond to increasingly complex situations.

Process Automation

As chatbots have demonstrated, AI can automate and optimize even the most complex tasks. Apart from directly addressing customer concerns, this includes modern manufacturing methods, such as the creation and development of tiny intricate electronic components, a big part of which is the transfer of printed circuit board (PCB) schematics and designs between tech engineering firms, contractors, and their manufacturing clients. Altium explains that reverse engineering PCB project libraries can be quickly done through automated design software. Automated reverse engineering can significantly reduce the daily manual work and turnaround time for PCB engineers, which in turn is good news for any manufacturers that deal with complex electronics – like the computers that run AI algorithms and ERP software.

Similarly, Digitalist Magazine notes how AI-enabled automation is also finding use cases in financing and related tasks. By automating financial processes, companies can have access not just to real-time insights into the current status of their business, but also to predictive algorithms that allows them to look into the future. In turn, the daily workload of financial professionals is also lessened, giving them more time and opportunity to analyze and steer business strategies informed by predictive business data analytics.

It’s All About the Data

Any of these automated applications can be seamlessly integrated with SAP’s comprehensive ERP technologies, not just in the manufacturing or financial sectors, but in any sector or industry that requires the untangling of complex business processes. In fact, whatever the problem, so long as there’s data to work with, SAP Data Intelligence’s enterprise-grade AI can be used to analyze and fix it. This underscores the relationship between AI automation and business data. The more complex the operations, the more automation can help, and the more data can be utilized for both developing automation models as well as improving predictive analytics.

While SAP ERP technology in itself is a useful tool, its integration with AI and machine learning algorithms make it practically indispensable to businesses that want to optimize their operations. As more terrabytes of business process data continue to be generated over the years, AI and SAP technologies can only improve and scale alongside digitally transforming organizations.

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