Oracle's newly launched update for its Oracle Fusion Cloud Application Suite will help customers with supply chain planning, operational efficiency and financial accuracy.
It is clear that under these circumstances, where demand is volatile, supply uncertain, and capacity short, manufacturing needs to adopt a digital supply chain twin to obtain resilience and an end-to-end visibility across your supply chain to make the right decisions. But where do you begin?
Supply chain businesses operate on thin margins and sustained cost pressures, bottlenecks, and transportation labor issues can significantly chip away at profits. The solution is to drive further efficiencies and squeeze more benefits from existing supply chain operations year after year.
Smart supply chain infrastructures have the potential to transform the way we do business, but we need to ensure seamless data interoperability and data integrity.
AI-enabled supply chains are 67% more effective than their non-AI counterparts, thanks to reduced risks and lower overall costs, market analysis shows.
In the case of theft, one of the most significant risks supply chains face today, a proactive approach is far more effective than a reactive one. And yet some companies are still behind in this thinking, dealing with cargo theft only when it’s too late to recover the loss.
The latest news, analysis, trends and solutions for artificial intelligence (AI) and its impact on supply chain management. New AI technologies are transforming the way companies do business — and allowing them to stay ahead of the competition in their industries. As these solutions continue to evolve, businesses are discovering new ways to increase efficiency and cut costs. Learn how companies around the world are improving operations through their strategic use of AI and machine learning technologies for supply chain management.
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