Cox Automotive aimed to standardize and improve its cloud architecture health across 53 data centers and 350 engineering teams to reduce technical debt, risk, and increase security and reliability.The company used the AWS Well-Architected Tool and Framework to review the state of its applications and workloads.Cox Automotive built an internal application using AWS Cloud Development Kit (CDK) and serverless compute technology to extract and analyze AWS Well-Architected Tool data.Data-driven insights enabled architecture teams to communicate risk levels and investment needs effectively to executives, securing significant funding for modernization and risk reduction efforts.The implementation resulted in improved architectural maturity, increased operational efficiency, reduced technical risk, and enhanced solution quality for customers.
Use case type
Supply chain risk management
This category identifies and monitors risks that can disrupt sourcing, production, transport, or delivery. It helps organizations improve resilience by detecting vulnerabilities and supporting contingency planning.
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Adoption over time
Documented cases per month
By case publish month · completed months only
2 cases documented across 15 months (May 25 – Jul 26), peaking at 1 in May 2025.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
3 shown from 3 use cases
Koppert streamlines supply chain and global expansion with ERP transformation
Koppert, a Dutch leader in biological crop protection, overhauled its operations by adopting Microsoft Dynamics 365 as its agile, cloud-based ERP platform. This transformation allowed Koppert to standardize processes across sales, packaging, delivery, warehousing, and customer management, enabling real-time access to consolidated data for improved decision-making. Integrated mobile scanning elevated inventory traceability and shipment tracking, crucial for live biological products. The system's scalability supported rapid onboarding and intercompany transactions, with 28% of sales now processed through Dynamics 365's intercompany features. The platform improves customer insights, enhances service by providing a 360-degree view of customers, and enables continuous improvement through real-time IoT sensor trials during shipping. Supporting operations in 14 countries, Dynamics 365 provides Koppert with the flexibility and resilience needed for ongoing global expansion.
Fujitsu Improves Supply Chain Resilience and Sustainability Through AI
Fujitsu partnered with Microsoft to deliver sustainable AI and cloud-based solutions for the manufacturing sector. Their joint effort features the deployment of Fujitsu’s Kozuchi AI platform on Microsoft Azure, combining AI, automation, and cloud technologies to strengthen supply chain management, risk assessment, and production efficiency.The implementation includes use of Microsoft 365, Dynamics 365, Power Platform, and Viva, with Uvance as Fujitsu’s business arm developing technology-driven solutions for manufacturing, retail, and healthcare. Kozuchi’s bundled AI Innovation Components and AI Core Engines are tailored to help customers achieve rapid business validation and proof of concept for various use cases.Fujitsu leverages the Microsoft Cloud for Sustainability by migrating on-premises data to Azure Data Platform for enhanced analysis, forecasting, and risk visualization in supply chains.The approach streamlines operational processes in supply chains, retail, and trusted society domains, enabling digitized and resilient responses to crises such as logistics breakdowns, natural disasters, and geopolitical risks.The result is improved operational efficiency, accelerated AI adoption, and measurable advances in sustainability, helping customers realize lasting business value.
Common questions
Supply chain risk management at a glance
- How many supply chain risk management use cases are documented?
- The AI Use Case Hub documents 3 real supply chain risk management deployments across 3 industries, with 3 detailed company examples you can browse.
- Which industries adopt supply chain risk management the most?
- Supply chain risk management is most common in Agriculture (33%), Manufacturing (33%) and Automotive (33%).
- Which countries lead in supply chain risk management?
- Netherlands leads documented supply chain risk management deployments, followed by Japan and United States.
- What technologies are used for supply chain risk management?
- Teams most often build supply chain risk management with Dynamics, Azure IoT and Azure.
- What AI capabilities power supply chain risk management?
- Across the documented deployments, the most common capability patterns are Sustainability (33%).
- What results do companies report from supply chain risk management?
- Across the 3 deployments reporting outcomes, companies most often cite better decisions & insight (67%), speed & agility (67%) and customer experience & trust (67%).