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The McKinsey report highlights how data and AI are revolutionising procurement, positioning it as a strategic function to navigate modern complexities such as price volatility, geopolitical tensions, and sustainability demands.
The report emphasises that leveraging data can optimise spend, manage external profitability drivers, enhance supplier performance, mitigate supply risks, and promote sustainability.
AI tools, like generative AI, facilitate automated processes, such as spend categorisation, demand forecasting, and supplier performance management.
However, many Chief Procurement Officers (CPOs) face challenges like data quality, unclear business cases for AI projects, and low adoption rates.
Success in scaling data-driven procurement transformations requires focusing on high-value use cases, building robust data infrastructures, user-centric design, upskilling teams, and diligent performance tracking. Companies like Sanofi and Teva Pharmaceuticals exemplify the transformative impact of integrating analytics and AI in procurement. Ultimately, a successful transformation demands strong leadership, clear vision, and collaborative engagement with stakeholders.