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How EY can help
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Discover how EY's supply chain team can help your business redefine its end-to-end supply chain and operations to support your enterprise objectives.
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In research conducted by EY teams,1 82% of supply chain leaders agree that data silos and fragmented systems make it difficult to gain end-to-end visibility of their supply chain. With scattered data across silos, this means that in most cases, supply chain executives are not getting a complete picture of upstream and downstream data to make the best decisions.
Moreover, in our experience working with large enterprises in multiple industries, we see significant time, energy and resources (and an organization’s mindshare) are spent on deployment of data analytics and tools — without reimagining end-to-end processes, including commercial and finance. A bigger picture of the how the supply chain affects operations across the enterprise is required.
Supply chain optimization improves the efficiency and effectiveness of a supply chain's operations to deliver goods or services faster, at reduced costs, and with improved quality and service levels. It involves assessing and adjusting various aspects of the supply chain, planning, procurement, manufacturing, storage, distribution and reverse logistics.
Supply chain optimization efforts can be approached through various strategies and leveraging technologies such as artificial intelligence/machine learning (AI/ML), Internet of Things (IoT) and digital twin supporting data analysis, predictive modeling, intelligent automation, and real-time visibility. The initial focus of supply chain leaders should be collecting supply chain data using data warehouses or data lakes and analyzing the data to generate actionable insights for cost reduction, improved resiliency and sustainability.