Managing through agile Currently, supply chain activities are driven by sales and decision-making operations planning cycles, and executed manually. Leveraging the power of intelligent technologies, future management models can be fully collaborative, data driven, and platform based. On an ongoing basis, participants can share qualitative information and real-time data from the supply chain systems, review reports, and discuss implications. As exceptions are identified or opportunities arise, planners can create resolution options, share with stakeholders, discuss on the collaborative platform, and take immediate action. Additionally, all qualitative information that is currently being exchanged—and lost—in phone calls and emails is saved along with the changes. As such, sales and operational planning will transform from manual and linear to continuous and collaborative. Developing a personalized AI’s computer power makes it possible to create more and more granular segmentation strategies that address and flexible approach consumers’ personalized needs by channel, service level and locality. In addition, real-time visibility into market data will produce greater insight, variation, and urgency of understanding and meeting demand requirements. This empowers supply chain organizations to rapidly develop multiple supply chain models for a single, integrated network. Unifying and amplifying Advanced analytics enable a new way to measure and performance management manage performance. In addition to tracking traditional functional metrics, supply chain organizations can determine impact on ultimate business outcomes. They can develop new end-to-end metrics to measure performance and cost across multiple functions, such as procure-to-pay and order-to-cash. Additionally, using predictive scenario modeling, organizations can evaluate the business impact of various options, like corrective plans for missed supplier shipments or new promotional campaigns. INTELLIGENT SUPPLY CHAIN REINVENTING THE SUPPLY CHAIN WITH AI 8