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Streamlining supply chain management: Strategies for the future

IBM Supply Chain Blog

In today’s complex global business environment, effective supply chain management (SCM) is crucial for maintaining a competitive advantage. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

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Generative AI use cases for the enterprise

IBM Supply Chain Blog

Healthcare, insurance and education are more hesitant due to the legal and compliance efforts to which they must adhere—and the lack of insight, transparency and regulation in generative AI. Code generation : Software developers and programmers use generative AI to write code.

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2024: Procurement Challenge, Opportunity and Transformation

Barkers Procurement

Intelligent Procurement Software Uncertain business outlooks shine a spotlight into every function. The right digital procurement technology can centralise spend data, identify trends and compliance to metrics, pinpoint opportunities, and simplify supply chain decisions as a result.

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Boosting Business Growth With the Help of a GPO

Una

Value-Creation Maestro You invest a bit more in fuel-efficient, low-maintenance vehicles with a longer lifespan. The value here isn't just held in the initial cost but in the total cost of ownership, environmental impact, and overall efficiency. By being the ethical compass. Financial Value Show me the money!

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Top 10 Procurement Best Practices for Modern Businesses

Empowering CPO

Importance of procurement in modern businesses In today’s fast-paced and competitive business landscape, procurement plays a crucial role in driving efficiency, cost savings, and overall success. Greater transparency: Real-time tracking of procurement activities allows for better monitoring and control of the entire process.

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How to accelerate your data monetization strategy with data products and AI

IBM Supply Chain Blog

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. But few organizations have made the strategic shift to managing “data as a product.”

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