New York start-up Altana (altana.ai) has updated its dynamic, intelligent map of the global supply chain.

Called Atlas, it empowers businesses, governments and logistics providers with visibility, understanding and command of their supply chains, transforming their approach to global commerce from one that is typically reactive, vulnerable and fragmented into one that is proactive, resilient and integrated. 

Atlas applies artificial intelligence (AI) to a vast network of public and private data – said to be the largest, organised, connected body of supply chain data in the world – to help users see across the global supply chain, automate trade compliance, detect national security threats, eliminate forced labour, measure and manage environmental impact, detect real-time risks and opportunities, and collaborate internally and externally on all of it.

The latest version of Atlas positions each user’s supply chain data inside a dynamic, bottom-up view of the global supply chain network. The enriched data then feed into a range of downstream use cases and workflows powered by AI and collaboration.

Executives can ask sweeping questions of their supply chain networks to reveal risks and opportunities. Sourcing and procurement professionals can collaborate with their direct and indirect suppliers to avoid supply interruptions proactively and ensure they are meeting ethical standards. Compliance professionals can automate routine tasks and stay ahead of an increasingly complex and volatile global regulatory landscape.

“Climate change, geopolitical competition, inflation, and an explosion of regulations and industrial policies are reshaping the global economy,” said Evan Smith, CEO of Altana. “The public sector is struggling to govern supply chains, and the private sector is struggling to keep up. Our new Atlas creates a unified product experience across our government, logistics and enterprise customers, and more importantly provides them with a shared, extensible, AI-first platform for building more sustainable, resilient and secure supply chains.”

The latest version builds on Atlas’ dynamic map and AI trained on the world’s largest supply chain dataset.

Unlike other traceability, compliance, risk management or sustainability point products employing supply chain mapping, Atlas has a dynamic, canonical map of the supply chain. As the supply chain evolves, so does Atlas. It cleans and unifies each user’s supply chain data to provide an integrated view of suppliers, products, material categories, shipments and compliance activity, all connected to multi-tier supply chain networks.

Every user’s map dynamically updates based on real-world supply chain activity, is traceable through time as networks evolve, and is interoperable with other users of Atlas. Real-time global event monitoring that is directly related to each user’s supply chain network provides immediate, relevant awareness around risk and opportunity.

Atlas applies AI to deliver tailored insights and recommendations in the context of an organisation and supply chains. Custom dashboards across Atlas empower users to generate and share their own analysis, KPIs and insights across all the underlying intelligence in Atlas. And they can overlay their own data and analytics, including third-party commercial data, onto their supply chain master data and multi-tier networks in Atlas.

Atlas provides faster and more flexible answers through a large language model-driven natural language assistant. For example, users can ask in plain language for details on suppliers associated with the highest revenue that may be at risk because of a recent natural disaster.

It helps break down internal and external silos on the supply chain. Atlas brings internal sourcing, procurement, supply chain management, trade, compliance, risk management and logistics users into a shared, collaborative map. External collaboration between suppliers, regulators, insurers and more is facilitated by a common operating picture and unified product experience across Atlas.

This version of Atlas will begin a phased rollout this month and continue into early next year.