Demand Sensing for Dynamic Supply Chain Management

Today’s supply chain chaos, port congestion, and logistics disruptions result as much from an unending pandemic as they are from decades-old supply chain practices. Global supply chains have never seemed more fragile. It is no longer sufficient to have full end-to-end visibility of your supply chain. One has to be able to leverage existing data to anticipate upcoming bottlenecks, supply chain disruptions, and capacity constraints. Orchestrating your supply chain and fixing lead time issues necessitates a data-driven approach that can take into account all of these various, complex interactions between internal resource and capacity constraints and external factors, including changing demand, logistics disruptions, and supply shortages. AI-based demand sensing and shaping can not only address many of these ongoing supply chain challenges but increase throughput, material flow, and profitability of your operation.

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