How Repsol is Transforming AI-Driven Procurement Strategy

Repsol strengthens its AI capabilities by integrating intelligent agents into logistics and procurement processes.

The company expands its partnership with Accenture to scale AI-driven automation, leveraging NVIDIA’s platform to optimise operations. This step reflects Repsol’s commitment to modernising workflows, cutting complexity and boosting productivity.

AI integration plays a key role in refining procurement and supply chain strategies, allowing for more accurate forecasting, improved inventory management and enhanced operational agility.

With the energy sector facing increasing pressure to optimise resources, Repsol's approach positions it at the forefront of AI-driven transformation.

The introduction of AI agents enables Repsol to refine procurement, logistics and supply chain operations with greater precision.

Developed in collaboration with Accenture and powered by NVIDIA’s AI technology, these systems handle predictive maintenance, real-time inventory tracking and process automation.

For procurement teams, AI-driven automation simplifies supplier management, ensuring optimal sourcing decisions while reducing manual intervention.

By analysing data patterns, these intelligent agents identify inefficiencies, detect potential supply chain disruptions and recommend solutions in real time. This predictive approach minimises delays and ensures a steady flow of materials and resources.

Repsol integrates AI into its existing Digital Program, an initiative running for more than six years, with more than two years of focused research in generative AI through its Generative AI Competence Centre. This foundation enables the company to strategically deploy AI-powered automation across its operations.

The latest phase focuses on "agentification"—the transition to AI agents that can autonomously assist employees in day-to-day decision-making. This shift allows procurement teams to dedicate more time to strategic initiatives rather than routine administrative tasks.

Josu Jon Imaz, CEO of Repsol, highlights the significance of this development: “With the extension of our collaboration with Accenture, we continue to drive our digitalisation and AI push through the introduction of generative AI agents.

"We aspire to be one of the pioneering companies in the energy sector in the use of these technologies. Since we launched our Digital Program more than six years ago, Accenture has been providing us with tools to improve our efficiency and competitiveness, in our effort to transform the company through technology.”

AI-driven decision-making in procurement

By embedding NVIDIA’s AI Enterprise software and advanced computing capabilities, Repsol enhances efficiency across procurement and supply chain functions. AI agents automate repetitive processes, allowing procurement teams to respond faster to market changes and supplier demands.

AI models assist in contract negotiations by analysing historical data, predicting pricing trends and identifying cost-saving opportunities. These capabilities give procurement professionals data-backed insights to make informed purchasing decisions.

Additionally, AI streamlines the approval process by automatically assessing supplier compliance and contract terms, reducing the risk of human error.

In logistics, AI-driven automation improves demand forecasting, helping Repsol optimise stock levels and prevent overordering or shortages.

By evaluating real-time conditions such as transport delays or material availability, AI agents suggest alternative sourcing options or adjust procurement strategies accordingly.

The benefits extend beyond efficiency. AI integration enhances resilience by enabling rapid response to supply chain disruptions, ensuring business continuity. Repsol’s ability to swiftly adapt to changing market conditions gives it a competitive edge in an industry where agility is essential.

Julie Sweet, Chair and CEO of Accenture, acknowledges the broader impact of AI in Repsol’s operations: “We are honoured to extend our deep partnership with Repsol, a bold leader and early mover in the energy industry in embracing new technologies and ways of working.

"We are excited to help Repsol achieve a new level of performance by working together to create tailored AI agents with the Accenture AI Refinery and the NVIDIA AI platform.

"Accelerating the use of agentic AI will enhance efficiency and productivity at speed, better serve customers with personalised experiences and ultimately help Repsol gain competitive advantage.”

Digital twins and the future of AI in procurement

Beyond procurement and logistics, Repsol is also exploring AI-driven digital twins through NVIDIA Omniverse. Digital twins create virtual models of physical assets, enabling predictive maintenance, improving equipment reliability and reducing unplanned downtime.

In procurement, this technology offers enhanced scenario planning, allowing teams to simulate supply chain variations before making purchasing decisions.

By integrating AI into procurement workflows, Repsol streamlines supplier interactions, accelerates contract processing and ensures compliance with industry regulations. This transformation also enhances operational sustainability, as AI-driven insights help minimise waste and optimise resource usage.

On the customer side, AI personalisation tools improve service delivery by analysing purchasing behaviours and offering tailored recommendations. This data-driven approach strengthens customer relationships and improves overall service efficiency.

As part of its AI strategy, Repsol invests in employee training to ensure staff are equipped to work alongside AI-driven tools. Accenture supports these educational initiatives, promoting continuous learning and fostering an AI-ready workforce.

By embedding AI into procurement and logistics, Repsol positions itself as a leader in digital transformation within the energy sector. As the company continues to innovate, AI agents play a crucial role in enhancing efficiency, simplifying complex processes and driving long-term growth.

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