With all these obstacles in their way, how can they respond to customer demands, boost productivity and cost-efficiency, minimize risk, and promote collaboration up and down the supply chain?
Data management and analytics technologies are empowering companies in the automotive industry to improve inventory control, streamline warranty management, refine manufacturing processes, minimize costs, and much more. For example, Ford helps thousands of dealers tap into 15 years of historical data to mine new insights about manufacturing efficiency, supplier quality, and repair trends. And North American Lighting has opened up data about plant operations to more carefully manage overtime, inventory, production, quality, and other critical business metrics.
With the right data management and analytics platform in place, automotive companies can collect and consolidate raw data from a wide variety of systems and sources, while ensuring the accuracy and consistency of that information. They can then make it readily available to all supply-chain stakeholders, from suppliers of components to the stores that sell after-market parts. Everyone can communicate and collaborate, tracking real-time metrics that promote better supply-chain performance. Vital supply chain analytics can even be embedded directly into automated processes and workflows, to deliver insights right when they’re needed most.
Our new e-book, Leveraging Data to Enhance the Automotive Supply Chain, demonstrates how data management and analytics solutions can help ensure smooth, cost-efficient operations. Read it today to learn how to get the insights needed to anticipate market shifts, minimize disruptions, and eliminate inefficiencies and waste.