In the digital era, supply chain management software primarily focused on automating manual processes and digitizing paper-based systems. This allowed for greater visibility and control over the supply chain, but it was still limited in its ability to adapt to changing circumstances. The rapid development and introduction of advanced technologies has us now in the adaptive era of supply chain management software.

This period is characterized by the integration of advanced analytics, AI and machine learning algorithms, allowing software to become the analysis engine for large volumes of data. This enables supply chain practitioners to utilise AI more broadly through GenAI as the “interface” to user engagement with massive data analysis and subsequent actions and recommendations in making the supply chain more resilient with higher level continuity factors and insulated from disruptive change. As we look to the future, we envision a journey of technological, process and data advancements that will usher in the autonomous era of supply chain management software. This era will be defined by software that not only analyzes and recommends, but also has the ability to autonomously execute decisions.

This powers supply chains to operate with minimal human intervention, allowing for greater efficiency and responsiveness to changing market conditions. The evolution of supply chain management software has been remarkable, and we are now at a point where the end-state of autonomy is within reach. This will revolutionize the way supply chains are managed. We will explore what this will look like and what you will be able to achieve.

Tangible Learnings:

1. How Supply Chains are evolving

2. How SAP enables our customers to move from Digital to Autonomous Supply Chains

3. How Supply Chain teams will be empowered in this new paradigm