Manufacturers understand the importance of precise data management to assure that sufficient materials are available in order to avoid costly production downtime. Still, many continue to rely on an outdated and error-prone patchwork of spreadsheets and manual data inputs, often leading to supply shortfalls, mislabeled products and overstocking of products that are no longer needed. This webinar will demonstrate how artificial intelligence (AI) replaces disconnected data silos with a digitized network footprint of all goods, services and logistics throughout the supply chain so that every decision is visible across the entire organization. AI’s machine learning capabilities remove materials guesswork by continually updating and interpreting market and customer trends to drive highly accurate predictive inventory analyses for indirect MRO, direct goods and even finished products. The webinar will also explain how complete digitization of data improves operational efficiency by harmonizing real-time, continually updated data across all departments and users, streamlining inventory management for speedy access to individual product stocks and available quantities.

Do you have the ability to model the cost, service, and risk implications of potential supply chain decisions? Here’s how better supply chain network design benefits your business and customers—and how to get started today. If your organization has a physical supply chain, supply chain network design is a critical capability to create digital models of your current and future supply chain to test the impact and performance of multiple alternatives—before you invest a dime. Join C.H. Robinson and Optilogic in a practical discussion on how leading companies are taking a balanced approach to optimizing across multiple criteria such as cost, service, risk, and carbon emissions when developing supply chain strategy.