Autonomous Mapping is an AI-powered approach to supply chain visibility that automatically generates multi-tier maps of a company’s global supply chain in minutes instead of months. Leveraging graph-based architecture, machine learning, and more than 15 years of validated supplier intelligence and publicly available 3rd party data, it provides company-specific visibility from Tier-1 through Tier-N suppliers, revealing hidden dependencies across materials, sites, and geographies.
Unlike traditional supplier surveys that are slow and labor-intensive, Autonomous Mapping dynamically blends public data sources such as Bills of Lading and customs declarations with Resilinc’s validated data covering over 120 countries, ensuring both speed and accuracy. Customers can further enhance these maps by contributing their own data—typically Tier-1 supplier lists and Bills of Materials (BOMs). This enrichment allows the maps to expand into part-to-site visibility, with each sub-tier supplier assigned a confidence score based on the combined intelligence from autonomous discovery and customer inputs.
For critical nodes, accuracy can be further boosted through Resilinc’s traditional Supply Chain Visibility (SCV) process, which provides supplier-validated confirmation. This unique layered approach—AI-driven graph building, customer data integration, confidence scoring, and targeted validation—makes Resilinc’s solution the industry leader in multi-tier supply chain mapping.
With advanced filters for suppliers, geographies, HS codes, and material breakdowns, businesses can quickly detect compliance risks, transshipment scenarios, and supplier concentration issues, while also identifying alternative sources and cross-business unit overlaps.
As the foundation for Resilinc’s Agentic AI platform—including EventWatch, Tariffs Agent, and UFLPA Agent—Autonomous Mapping transforms supply chain data into actionable intelligence, enabling companies in industries such as automotive, aerospace, life sciences, electronics, and food & beverage to stay ahead of disruptions, reduce costs, and build long-term resilience.
