How EY and Nvidia use AI to Enhance Supply Chain Efficiency

In today’s global economy, supply chains that lack clarity and integration expose businesses to more than shipment delays.

Companies without a consolidated view of their networks often face mounting costs, disappointing service levels and diminished customer loyalty.Siloed functions, siloed functions and mountains of unstructured data all obstruct fast, confident decisions.

The result? Organisations locked in reactive firefighting mode, unable to balance efficiency with resilience or adapt at speed to disruptions.

Many firms mistakenly believe their existing systems provide enough control.

Yet the reality is that without predictive insights and real-time coordination, growth stagnates, risks go unnoticed and opportunities slip away.

EY and Nvidia bring AI into supply chain control

Overlooking risks in supply chains can have severe consequences.

Research shows that four in five organisations have experienced disruptions in recent years, according to WorldRef Insights, significantly reducing operational efficiency.

The financial impact is equally stark.

Businesses have lost more than US$1tn over the past five years attempting to scale pilots and proof-of-concept projects that ultimately failed to deliver value.
Losses on this scale highlight the urgent demand for solutions that not only unify data but also provide real-time control and actionable, scalable insights.

To address these pain points, EY has partnered with Nvidia to launch EY.ai for supply chain, a platform designed to unify data, sharpen foresight and automate decision-making.

The initiative builds on Nvidia’s accelerated computing capabilities, combined with EY’s deep industry and operational expertise.

Together, these strengths deliver a single AI-powered environment for end-to-end supply chain visibility, scenario modelling, risk diagnostics and fast execution.

This approach helps organisations move beyond small-scale pilots, many of which have historically stalled before adding value. Instead, companies can now scale AI-driven insights across the enterprise.

This method is enabling organisations to boost capacity by as much as 30% while raising on-time in-full (OTIF) performance by up to 15%.

The results signal a clear move away from reactive problem-solving and toward proactive, strategic supply chain management.

Speaking earlier this year on the expansion of EY's alliance with Nvidia, Raj Sharma, EY’s Global Managing Partner for Growth and Innovation, said: "Having actionable insights powered by AI technology will impact whether businesses succeed or fall behind in this industry. Our goal is to provide clients with the necessary tools and strategies to navigate the new AI era effectively.”

Unlocking competitive capabilities

EY.ai for supply chain applies Nvidia’s AI and GPU-based computing tools to provide six core benefits:

• Unified data management and automation: By integrating separate systems, the platform creates a single source of truth. This reduces manual processes and makes data easier to act on, freeing teams to focus on strategic decisions.
• Predictive analytics: Using Nvidia NIM, the solution can anticipate supply chain challenges. This allows users to adjust operations ahead of time, improving network efficiency by up to 20%.
• Strategic simulations: Nvidia cuOpt introduces accelerated modelling into supply chain planning. Businesses can test different strategies, fine-tune operations and build resilience through informed decision-making.
• AI-enhanced visibility: AI agents and Nvidia tools stitch together data from across the supply chain, creating a complete view. This insight helps organisations act fast and with confidence.
• In-depth diagnostics: Advanced AI models assess hidden constraints and inefficiencies, offering targeted solutions that refine performance.
• Scalability and flexibility: AI-powered assistants help businesses adapt to changes in demand, supply or logistics by recommending optimal configurations through interactive visualisations.

Combining technology and consulting expertise

The collaboration between EY and Nvidia brings together EY’s deep operational know‑how and consulting experience with Nvidia’s advanced capabilities in machine learning, simulation and high-performance computing.

This combination enables organisations to cut inefficiencies, strengthen risk management and align supply chain performance with broader business objectives.

By leveraging digital twin simulations, businesses gain sharper foresight, testing and comparing future-state scenarios before committing changes in the physical world.

Key outcomes with EY.ai for supply chain include:

• Up to 30% increase in capacity

• OTIF performance improvements of up to 15%

• Results achieved 1.5x faster, without additional resource scaling

Rather than replacing human decision-making, the platform enhances it – delivering data-driven options and targeted automation where it adds the most value.

The result is an AI-enabled environment designed for agility, precision and long-term impact.

With this framework, organisations are better equipped to navigate disruption, expand operations and deliver greater value to customers – without compromising on cost efficiency or quality standards.