Can EY and Nvidia Fix Supply Chain Blind Spots with AI?

Supply chains lacking in visibility face more than just shipment delays.

Companies without a unified perspective of their supply networks encounter lost sales, heightened operational costs and dwindled customer trust.

Many contend with scattered data, siloed functions and information overflow from disconnected sources.

This fragmentation impedes swift decision-making, disrupts cost and service level balancing, and constrains adaptation to evolving customer needs or supply-side changes.

The effect often results in operational stagnation. Organisations struggle to identify threats, model options or respond precisely.

Innovation slows, delays pile up and missed opportunities become routine.

Though some businesses assume their current systems provide sufficient control, deeper visibility and decision-support tools prove vital for cost-efficiency and enduring resilience.

Bringing AI into supply chain management

Identifying risks within supply chains is crucial.

WorldRef Insights highlights that four out of five organisations have faced disruptions impacting efficiency.

The financial implications are vast, with over US$1tn squandered in five years by companies scaling pilots and proofs of concept that fail to convert to value.

This indicates a pressing need for tools that integrate data while allowing real-time control and scalable insights.

EY responds with its EY.ai for supply chain, which harmonises real-time data integration, predictive intelligence and automation to refine fragmented supply chains.

The platform, developed in collaboration with Nvidia, provides visibility, scenario simulation, risk analysis and decision automation in a cohesive AI-powered environment.

Leveraging Nvidia’s accelerated computing along with EY’s industry expertise, EY.ai enables companies to consolidate their data, accelerate reactions and enhance operational efficiency.

By employing Gen AI, visualisation engines and reasoning models, the platform pinpoints bottlenecks and unveils actionable insights.

This method empowers organisations to boost capacity by as much as 30% and enhance on-time in-full (OTIF) delivery by up to 15%, marking a shift from reactive crisis management to strategic, proactive 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, says: “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 AI-driven capabilities

EY.ai for supply chain leverages Nvidia’s AI and GPU-based tools to deliver six fundamental benefits:

• Unified data management and automation: The platform integrates disparate systems, forming a single source of truth, reducing manual processes and simplifying data utilisation, allowing teams to focus on strategic decisions.
• Predictive analytics: Utilising Nvidia NIM, the solution foresees supply chain issues, enabling pre-emptive operational adjustments to enhance network efficiency by as much as 20%.
• Strategic simulations: Nvidia cuOpt permits accelerated supply chain planning modelling, letting businesses test strategies, fine-tune operations and bolster resilience through informed decision-making.
• AI-enhanced visibility: AI agents and Nvidia’s tools converge supply chain data, offering a comprehensive view that supports swift, confident actions.
• In-depth diagnostics: Advanced AI models evaluate unseen constraints and inefficiencies, delivering targeted solutions to enhance performance.
• Scalability and flexibility: AI assistants assist in adapting to demand, supply, or logistical changes by recommending optimal adjustments through interactive visualisations.

Integrating technology and expertise

The EY and Nvidia partnership fuses EY’s operational and consulting know-how with Nvidia’s strengths in machine learning, simulation and computing.

This synergy enables organisations to cut inefficiencies, manage risks and align supply chain operations with broader business strategies.

The introduction of digital twin simulations boosts insight, letting businesses test theoretical scenarios before enacting real-world changes.

Firms employing EY.ai can unlock 30% more capacity, improve OTIF by 15% and deliver results 1.5 times faster without escalating resources.

The EY and Nvidia tool fashions a structured, AI-enhanced environment ideal for agility, precision and sustained value, enhancing rather than replacing human decision-making by offering data-based options and automation when fitting.

Access to such support allows organisations to face disruptions, scale operations and offer more to customers while maintaining control over costs and quality.