The Data-Centric Supply Chain: What CIOs Should Know

GEP Global

Customers have shifted the demand model, and companies must transform the supply chain. That requires an “outside-in” approach: start at the customer, then work backward while breaking down data silos.

Of all the technology investments that impact the bottom line, strategic CIOs agree, there’s a strong case that supply chain digitization is next.

Customers have upended the delivery model for products and services, using technology to intuitively meet their needs. To effectively respond and compete, enterprises must mine market preferences and behaviors. That requires managing data up and down the supply chain to gain end-to-end insights and visibility.

However, there are mountains of supply chain data to manage while trying to handle veracity and variety issues. That’s why next-generation technologies—including artificial intelligence (AI), robotic process automation (RPA), and predictive analytics—are critical.