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As a Chief Procurement Officer, you know the importance of procurement data quality and worry about your Material Master Data. However, considering your CIO may have decided for, or is already implementing, a multi-domain master data management (like SAP MDG) to govern all Company’s Master Data, including your Material Master Data, now, you feel comfortable. But, beyond the glittering facade […]

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For the last two years, the world has been locked in a state of constant urgency. COVID was urgent, inflation is urgent, Russia’s invasion of Ukraine has created multiple issues that are urgent. The question of access to energy is a prime example. Russia provides approximately 40% of Europe’s natural gas. The Nord Stream 1 […]

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By 2027, companies using SAP ECC must move – or migrate – to SAP S/4 HANA. No project this complex and time-bound is relished by anyone, but the die has been cast, and it is time to get started on the journey. One of the first things most companies will realize is that they have […]

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Any Procurement and Supply Chain practitioner agrees that procurement data must be machine-ready before AI can deliver value. But what does machine-ready actually look like at enterprise scale? The answer is a Supply Chain Data Space. Picture a unified, continuously synchronized digital twin not of a single asset or a single catalogue, but of the […]

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AI procurement master data governance facilitates real-time spend visibility by augmenting SAP master data governance (MDG) with deep learning capabilities. While SAP MDG provides a robust framework for structured workflows, it often lacks the semantic intelligence required to categorize complex, multilingual material master data at scale. Creactives TAM (Technical Attribute Management) functions as the missing […]

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Supply chain directors can reduce working capital by utilizing Deep Learning and Knowledge Engineering to identify duplicate materials hidden across fragmented, multi-language ERP environments. By establishing a semantically connected data foundation, organizations can harmonize material master data to uncover redundant safety stock and consolidate global inventory levels. This process shifts the focus from manual, lexical […]

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Effective enterprise spend analytics for fragmented data requires a transition from manual, rule-based categorization to AI-driven semantic harmonization. By leveraging deep learning, global organizations can unify disparate material and supplier records across multiple languages to identify hidden stock and eliminate procurement duplicates. This approach provides visibility that legacy master data management (MDM) tools cannot achieve, […]

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The realized value of every innovation comes down to the success of the associated change management effort – and AI-enabled technologies are no exception. But while all projects have a change management component to them, what is required to help people embrace change is not always the same. With automation and AI-related changes, people are […]

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There has been a great deal of excitement about the use of AI in procurement, but very few real-life examples we can hold up as success stories. Perhaps this is because we are more focused on what AI is than what AI can do, when it should be the other way around. AI is not […]

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