The role of data in supply chain management

Data and analytics are nothing new, but due to the events of the past two years, there has been an acceleration in their adoption. The myriad challenges posed by the COVID-19 pandemic on the already strained global supply chain have highlighted the need for organisations to become more flexible and adapt to the uncertain business landscape. By harnessing the power of new and advanced technologies, organisations can become more flexible and efficient, and ultimately, enhance their reputation and customer relationships as a result.

Advancements in areas such as machine learning and artificial intelligence, paired with established predictive analytics, are important for building supply chain resilience. The pandemic has caused huge shifts in the way businesses operate across almost all sectors. Therefore, organisations must plan ahead and closely monitor supply levels in order to improve visibility across the entire supply chain; reduce risk; predict customer demand and changing consumer behaviours; and consider how certain events will impact operations and supply chains.

The opportunities that data-driven insights from advanced technologies can offer is seemingly limitless.

Join Sarah Belsham, RSM UK; Johan von Wielligh, RSM Germany; and Jason Alexander, RSM US, as they explore the fascinating possibilities that data can yield for supply chain management; how it will transform global operations; and how that will impact the future of the business landscape and their customers.