Remove tag Procurement Data Analytics
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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Supply Chain Blog

Procurement and installation: The next stage of the asset lifecycle concerns the purchase, transportation and installation of the asset. Data management and storage requirements vary widely from country to country and are constantly evolving. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.

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The most valuable AI use cases for business

IBM Supply Chain Blog

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Intelligent Supply Chain Technologies for the Future!

Supply Chain Game Changer

Technological advancement will work as a catalyst in digitizing supply chain management, bring about changes in the existing system of delivering products and services, and overhaul the process of generating and sharing data across a more diverse set of functions. Data analytics provides actionable insights to save time, effort and cost.

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Top 5 common procurement myths about AI

Zycus Cognitive Procurement

Common procurement myths about the use of AI in procurement are widespread today in the age of AI and automation. According to a Hackett group report, 46% of procurement leaders plan major investments in AI to improve their procurement processes.

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10 CLM Platforms to Take Your Procurement Game to the Next Level

World of Procurement blog

Contract lifecycle management (CLM) software has become an invaluable tool for procurement teams looking to optimize their contracting processes. As procurement organizations deal with an increasing volume and complexity of contracts, they need solutions to effectively manage the entire contract lifecycle from request through closeout.

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Asset lifecycle management best practices: Building a strategy for success

IBM Supply Chain Blog

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. Read this blog post to explore how digital twins can help you optimize your asset performance.

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The Supply Chain Management Playbook: Your Game Plan for Operational Success

World of Procurement blog

Demand forecasting utilizes historical sales data, market trends, and customer insights to predict future demand. Areas to drive efficiency include inventory management, logistics, warehousing, and procurement. Technological advancements have enabled real-time data sharing and visibility across global supply chains.