Everstream’s solution equips DuPont with a targeted risk assessment process and a supply chain incident monitoring platform, powered by AI. This gives DuPont clarity into the seven risk factors with most influence on their supply chains: strikes, power outages, telecoms outages, industrial fires, terrorist attacks, IT failures, and the financial stress of suppliers.
Everstream’s custom solution for DuPont ensures end-to-end supply chain visibility, automatically quantifies risk, and helps the risk management team make informed and proactive decisions to prevent disruptions and create efficiencies.
SCRM example 2: A proactive approach to supply chain risk
Cisco is a global IT leader that provides businesses around the world with hardware, software, and services used to run critical infrastructure. Aiming to continually improve their service operations performance, in line with their core values, DHL Service Logistics and Cisco approached Everstream for support on enhancing their network’s overall resilience to any event, major or minor.
Accordingly, Everstream’s platform supplies a thorough view into all operating locations and major freight lanes within the network, tracking them by geo-coding at the street address level. The platform uses AI to automatically provide details into any potential risks, including severity, allowing the Cisco team to make contingency plans and other strategic risk management decisions.
SCRM example 3: Resilience supports personnel and security
Andritz Group supplies and services complex, high-value plant equipment across several industrial sectors, often working in very remote and politically unstable regions around the world. To safeguard their deliveries and ensure the safety of their personnel, they turned to Everstream to provide continuous data and analytics, helping Andritz understand the scope of their risk exposure.
Everstream’s solution creates risk “heat maps” using a variety of data sources, giving Andritz an overall view into the risk exposure in a region. The platform also makes specific risks associated with locations clear, coded down to the street address level of individual sites. AI provides the analysis of this mountain of data, leaving the security team free to consider the analyzed data and make effective critical decisions.
Figure 1: Companies in manufacturing, chemicals, energy, and more rely on supply chain risk management from Everstream Analytics.
SCRM example 4: Driving down supply chain risk, strengthening resilience
Like many manufacturers, ZF uses airfreight, provided by DHL, as a last resort to avoid delivery delays or to maintain production schedules. As a result, any disruptions within the airfreight ecosystem became a crucial risk to ZF. Additionally, ZF was having trouble effectively communicating the potential impact of delays to automotive OEMs when delays occurred. Therefore, ZF and DHL Global Forwarding (DGF) began a joint pilot to minimize risk and maximize efficiency within ZF’s airfreight network, utilizing Everstream’s supply chain risk platform.
Everstream’s platform provided customized risk assessments and AI-powered supply chain monitoring capabilities, mapping the network from end-to-end and considering ZF and DHL’s specific and complex needs. For example, though DHL runs ZF’s airfreight network, ZF undertakes customs clearance between countries. Therefore, any rerouting must be done within the framework of ZF’s existing customs clearance brokers.
The pilot was very successful, and ZF was not only able to fully visualize and prioritize risks, but also able to easily communicate any potential impacts to their OEMs.
SCRM example 5: Critical cargo arrives on time
With hundreds of facilities, Google is responsible for shipping substantial amounts of high-value and time-critical hardware to strategic locations around the world. Delayed or lost in-transit hardware can throw entire projects into disarray or reveal proprietary information.
Everstream’s platform constantly collects real-time data from numerous external sources, collating incidents that could impact Google’s transportation network. By tracking Google’s in-transit inventory, AI can highlight which events may have critical outcomes and provides the Google team with actionable information.
By implementing this system, Google was able to provide logistics personnel, carriers, and internal customers faster and more accurate information, increasing on-time delivery. Additionally, Google was able to manage three major incidents over two months without disrupting wider operations.
SCRM example 6: Protection for temperature-sensitive products
Glanbia Performance Nutrition (GPN), a major division within Glanbia PLC, produces a variety of performance nutrition products across consumer sectors. After experiencing significant product losses due to freezing and melting, as well as complications with rail embargos and other supply chain disruptions, GPN needed to engage with logistics companies that provided temperature-aware transportation options.
Everstream designed a platform for GPN that supplies lane risk analysis, advanced weather forecasting, and shipping environment temperature data. The platform uses data analytics and AI to provide equipment recommendations in line with temperatures during a given shipment. As a result, GPN has been able to make proactive, weather-informed decisions, reduce transportation costs, and prevent spoiled products.
Figure 1: In this example, supply chain risk management software alerted clients of disruption 11 days before news media coverage.
SCRM example 7: Enhancing risk analysis tools and improving planning
A world-leading specialty chemicals company, Evonik Industries AG must keep a close eye on risks to maintain regulatory compliance and uphold their reputation. As a subscriber to and a champion of the values of the Responsible Care Initiative within the global chemical industry, Evonik aims to ensure the safety of all parties involved within their supply chains, especially where transporting or storing hazardous materials. Therefore, Evonik sought a comprehensive overview of the status of goods in transit, transportation risks and disruptions, and the ability to intervene with alternate solutions when necessary.
Everstream’s platform took Evonik’s existing supply chain data streams, drawing analysis from those and from Everstream’s database to create risk heat maps. The platform also provides continuous monitoring of Evonik’s supply chains, notifying the Evonik team of accidents, delays, strikes, and other disruptions. This allows Evonik to prioritize risk reduction activities and make quick and effective decisions in the face of an incident.
SCRM example 8: Keeping patient-critical supply chains running
A global medical device company manufacturing patient-critical products, Medtronic wanted to understand and minimize risks within their supplier network. Working with Everstream to map their entire supply chain, they discovered they had over 12,000 sub-tier suppliers for just a single product.
Everstream’s platform uses AI to highlight risks or disruptions that may occur within the multi-tier supply chain, from raw materials to manufacturing to shipping to clients. The company can then take appropriate actions, pivoting quickly to ensure that lifesaving or life-sustaining products only face minimal delays within the value chain.
SCRM example 9: Critical supply secured and shipped before first COVID-19 shutdown
At the beginning of the Covid-19 pandemic, Everstream’s platform alerted one customer, a Tier-1 automotive manufacturer, to an incident in a key factory in Wuhan, as well as limited air cargo capacity out of China. This automated alert, powered by AI and filtered through Everstream’s advanced analytics, led them to make an extraordinary maximum quantity one-time buy, shipped through the Russian rail system.
This decision-making process allowed them to secure key supplies ahead of a very serious disruption, ensuring their production could continue, and gave them a huge competitive advantage over other automotive companiesv who could only react to the incident after the fact.
SCRM example 10: Strengthening supply chain risk management and response
Schneider Electric uses Everstream’s platform to automatically receive real-time notifications of events that may impact global transport logistics. This streamlined system allows Schneider to get ahead of issues that could cause delays, giving them extra lead time to make critical mitigation decisions and re-route shipments as necessary. Schneider has noted that this has previously prevented over 100 major events from negatively impacting their logistics, and has improved their customer delivery predictability.
AI is a powerful tool when used for risk management. Everstream’s clients were able to make effective decisions, and often discovered other ways to increase operational efficiency. Combining the raw analysis power of AI with the oversight of humans, allows risk management teams to make quick, efficient, and effective risk management decisions.
Supply chain risk management can help any organization adopt and streamline their supply chain operations. We’ve provided ten examples of real-life success stories from our Everstream clients that demonstrate how SCRM can revolutionize supply chain operations, increase efficiency, reduce costs, and improve service. Whether you’re just getting started with SCRM or looking for ways to optimize your existing practices, take inspiration from these examples on how AI-powered analytics can take your supply chain risk management to the next level.
