The Deal That Puts AI at the Heart of Nissan's Supply Chain

Nissan Americas has entered into a strategic partnership with Arkestro to modernise its procurement functions through the deployment of predictive artificial intelligence.

As global markets face increasing volatility, the automotive industry is shifting its priority away from simple efficiency towards operational resilience.

Arkestro, a leader in predictive procurement platforms, uses a blend of AI and game theory to transform traditional "back-office" procurement into a proactive, results-driven function.

By adopting this technology, Nissan aims to improve data visibility, support competitive procurement activities and increase sourcing efficiency across its operations in the US, Canada and Mexico.

Predictive platforms and game theory science

The Arkestro platform merges artificial intelligence with patented science technologies, specifically Negotiation Science, Supplier Science and Process Science.

These capabilities allow organisations like Nissan to navigate the fundamental shifts currently affecting the automotive sector, where fragmented global economies and complex supply chains are increasingly the norm.

By moving away from traditional cost-saving tactics, procurement teams can use AI to predict volatility and track disruptions in real-time.

This is particularly vital for automakers operating within just-in-time (JIT) manufacturing models, where materials must be delivered exactly when needed to minimise inventory costs while avoiding the risks of supplier delays or "Black Swan" events.

Mitigating risk in just-in-time models

"We are pleased to work with Nissan as they explore new tools to support their procurement transformation efforts," says Rob DeSantis, CEO and co‑founder of Arkestro.

Rob said that the platform is specifically engineered to help organisations build sourcing processes that are more efficient and resilient. In the context of the automotive production lifecycle, these tools are essential for managing both direct and indirect spend.

The system’s game-theoretic capabilities allow for the automation of complex negotiations, removing the time and efficiency barriers that typically make traditional procurement slower and more susceptible to human error or data silos.

All sustainability, net zero and sustainable procurement leaders should attend:

• Procurement & Supply Chain LIVE: The Net Zero Summit - QEII Centre, London, March 4-5
• Procurement & Supply Chain LIVE: The US Summit - Navy Pier, Chicago, April 21-22

Co-located with Sustainability LIVE, these events brings together CPOs, CSCO, CSOs, ESG leaders and senior decision-makers at a moment when sustainability, supply chains and commercial performance are increasingly interconnected.

Tickets can be booked online today for The Net Zero Summit and The US Summit. Group discounts available.

Automation streamlines complex sourcing workflows

The adoption of the platform across Nissan’s North American operations is intended to foster consistency and transparency for suppliers.

By streamlining sourcing workflows, the AI-driven system addresses critical issues related to data access and speed of event management. For senior AI executives, the integration of game theory into procurement represents a significant step toward agentic"supply chain management, where the software can autonomously suggest the best negotiation paths or alternative vendors based on historical data and predictive modelling.

This reduces the administrative burden on procurement leaders, allowing them to focus on high-level strategic partnerships rather than manual sourcing tasks.

Game theory reduces event cycle times

Through this partnership, Nissan Americas seeks to significantly cut average event cycle times and reduce costs without sacrificing quality.

The predictive nature of the platform also boosts supply chain resilience by identifying at-risk suppliers before a failure occurs. By blending fact-based strategies with AI-powered supplier selection, Arkestro can quickly identify alternatives to mitigate risk in a volatile environment.

"Our platform is built to help organisations create more efficient, transparent, and resilient sourcing processes," says Rob. He added that the collaboration with Nissan supports its wider transformation efforts as they explore new digital tools to stay competitive.

Identified alternatives mitigate cost volatility

For a multinational manufacturer like Nissan, these AI-powered tools are necessary to maintain operational resilience in a market where traditional strategies are becoming less effective.

The ability to spot at-risk suppliers and suggest alternatives in real-time allows for the selective stockpiling of critical components, a hybrid model that is increasingly replacing pure JIT management.

By leveraging AI to increase competitive opportunities, the partnership reinforces the role of procurement as a strategic driver of corporate health. The venture demonstrates how large-scale enterprises are moving beyond AI pilots into production-scale deployments that deliver measurable economic impacts and safeguard against the uncertainties of global trade.