Supply chains that lack visibility and coherence risk more than simply delayed shipments.
Companies without a unified view of their supply networks face lost sales, rising operational costs and eroded customer confidence.
Many struggle with scattered data, siloed functions and overwhelming streams of information from disconnected sources. Such fragmentation prevents fast and confident decisions, hinders the ability to balance service levels with costs, and limits the response to changing customer needs or supply-side fluctuations.
More often than not, the outcome is operational stagnation. Organisations find it hard to identify threats, model their options or act with precision. Innovation stalls, delays compound and missed opportunities become routine.
While some businesses may believe their existing systems offer enough control, gaining access to deeper visibility and decision-making support are proving essential for cost-efficiency and long-term resilience.
EY and NVIDIA bring AI into supply chain control
Failing to spot risks within supply chains can prove disastrous. According to WorldRef Insights, four out of five organisations have experienced disruptions in recent years that lowered their efficiency.
The consequential cost is high. More than US$1tn has been wasted over the past five years by businesses trying to scale small-scale pilots and proofs of concept that don’t translate into value.
This scale of loss points to a need for tools that not only integrate data but also enable real-time control and scalable insights.
Step forward EY, whose EY.ai for supply chain brings together real-time data integration, predictive intelligence and automation to streamline fragmented supply chains.
Developed through a partnership with tech giant NVIDIA, the platform delivers visibility, scenario simulation, risk analysis and decision automation in a single, AI-powered environment.
By combining NVIDIA’s accelerated computing with EY’s industry and process knowledge, EY.ai for supply chain supports companies to consolidate their data, react faster and operate more efficiently. Using generative AI tools, visualisation engines and reasoning models, the platform identifies bottlenecks and surfaces insights that inform practical responses.
This approach is helping organisations increase capacity by up to 30% and improve on-time in-full (OTIF) delivery by as much as 15%, reflecting a shift away from reactive firefighting toward proactive and 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 tech and consulting expertise
EY and NVIDIA's collaboration integrates the former's operational knowledge and consulting expertise with the latter's strengths in machine learning, simulation and computing.
As a result, organisations can reduce inefficiencies, manage risks and align supply chain operations with overall business strategy.
The use of digital twin simulations adds an extra layer of insight, allowing businesses to test and compare future-state scenarios before making changes in the real world.
Key results show that firms using EY.ai for supply chain can:
Unlock up to 30% more capacity
Improve OTIF performance by up to 15%
Deliver results 1.5x faster without scaling resources
Users of EY and NVIDIA's tool stand to gain a structured, AI-enabled environment built for agility, accuracy and long-term value. The platform doesn’t replace human decision-making but enhances it, providing data-backed options and automation where appropriate.
Organisations now have access to the support required to face disruption, scale operations and deliver more to their customers – without losing control of costs or quality.