Mastering Supply Chain Complexity Through Advanced Multi-Tier Mapping

Global supply chains are increasingly complex and interconnected, creating challenges for businesses to identify risks and ensure resilience beyond their immediate suppliers. Semantic Visions specialises in addressing these challenges through advanced supply chain mapping and predictive analytics.

Semantic Visions’ technology combines natural language processing (NLP), AI-driven enrichment, and graph-based analytics to provide actionable insights. By analysing textual data from over 650 recurring global events and enriching it with predictive analytics, the platform enables businesses to make risk- and opportunity-based decisions. Its multi-tier mapping capabilities uncover hidden relationships across supply chains, while its graph technology effectively identifies and manages risks, helping organisations navigate disruptions and comply with regulations.

With supply chains spanning multiple tiers and regions, risks are often hidden beyond direct suppliers. Regulatory demands, unforeseen disruptions, and the need for operational transparency make it essential to map and understand multi-tier relationships comprehensively. Semantic Visions addresses these complexities by offering visibility and insights that extend deep into the supply chain network.

The Importance of Multi-Tier Mapping

Globalisation has introduced increased complexity to supply chains, creating challenges that extend beyond first-tier suppliers. Risks such as regulatory requirements, potential disruptions, and operational inefficiencies necessitate a more in-depth understanding of supplier and client networks.

Semantic Visions’ Multi-Tier Analysis Approach

Semantic Visions’ platform offers critical capabilities for supply chain management:

• Risk Detection: Identify vulnerabilities across extended supply chains before they escalate.
• Supplier Prioritization: Rank third parties based on their significance within the network.
• Real-Time Monitoring: Deliver insights into events and disruptions as they occur.

Deliverables and Applications

• Output formats: data feeds, dashboards, and analytical reports.
• Delivering real-time insights for risk management and decision-making.
• Real-time monitoring of relevant events for n-tier suppliers.
• Screening of historical data archive available
• Tailored data sets to fit specific client needs and contexts.

The Supply Chain Multi-Tier Mapping Methodology

• The process begins with onboarding the client’s direct suppliers by receiving their supplier list, which is then cleansed, deduplicated, and validated to ensure accuracy and consistency. 
• Next, additional attributes are assigned to entities, enhancing the dataset with contextual information and linking real-world events to specific entities. 
• This is followed by multi-tier discovery, which identifies N-tier third parties across both the supply and client sides, providing a comprehensive view of the extended supply chain. 
• The process concludes with rigorous quality assurance (QA) to validate automated results, ensuring accuracy before delivering the insights in pre-configured formats tailored to client needs.

Case Studies

• Flooding in Switzerland: When floods disrupted key aluminium suppliers like Novelis, Semantic Visions quickly identified downstream impacts on automotive manufacturers, allowing proactive planning.

• Bangladesh Labor Protests: The system flagged disruptions in garment manufacturing due to protests, alerting global brands like H&M to potential delays early.

• Taiwan Earthquake: After an earthquake affected TSMC, a key semiconductor supplier for Qualcomm, the platform highlighted potential supply chain disruptions.

Semantic Visions offers tools to address the increasing complexity of supply chains, emphasising transparency, data-driven decision-making, and regulatory compliance. By providing detailed insights and real-time monitoring, our platform supports businesses in navigating challenges and building resilient supply networks. Request a demo here.