The way data is accessed and shared throughout the supply chain is changing. New standards like GS1’s Digital Link, and programs like Project i-Trace and Amazon Transparency offer a glimpse of a new, more interoperable future. At this session, learn what you need to be ready for the new era of web-enabled, item-level identification.
Supply chain disruptions are a fact of life; the last couple years in particular revealed the vulnerabilities baked into our lean, cost-optimized, and unsustainable supply chains. They’ve also highlighted the need for building supply-chain-resilience capabilities to mitigate risk across key areas, including sustainability. Companies that have solid supply chain monitoring and mapping capabilities — down to the sub-tier site and part level — have a complete picture of how any given disruption will affect their supply chains.
AI-based demand sensing and shaping can not only address many of the ongoing supply chain challenges but increase throughput, material flow, and profitability of your operation. 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.
This is a time when disruptive world events compel us to transform our supply chains and offer each of us a chance to shine. But why do so many supply chain improvement projects - and other project types as well - fall short of delivering their expected results?