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Here’s a comprehensive list of the top 100 skills that a Procurement Manager should master

Procurement Templates

Coupa, Ariba) Data analytics tools (e.g., Coupa, Ariba) Data analytics tools (e.g., Use Analytics Platforms: Develop skills in Tableau or Power BI to visualize procurement data. Explore Emerging Tech: Understand blockchain’s role in tracking and IoT for inventory management. SAP, Oracle) Procurement software (e.g.,

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How MTSS Platforms Can Prepare the Next Generation of Supply Chain Professionals

SCMDOJO

For instance, a student struggling with inventory management concepts can receive supplementary materials, interactive simulations, and one-on-one tutoring sessions tailored to their needs. Through interactive modules, students can learn to use analytical software such as Excel, SQL, and specialized supply chain management tools.

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Mathematical Optimization: Supply Chain Management by the Numbers

Supply Chain Brain

Bowman, SupplyChainBrain Watch: What’s in DOJ’s New Guidelines for FCPA Enforcement?

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Building Stronger Relationships: Effective Approaches to Multi-Tier Supplier Collaboration

Jaggaer

Tier 1 suppliers and their suppliers—and their suppliers’ suppliers—make up an organization’s multi-tier supply chain. Collaboration across Tier 1, Tier 2, Tier 3, and beyond requires visibility and communication regarding capacity, cost, risk, order quantities, inventory levels, quality , timelines, logistics, and more.

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How AI and Automation are Transforming Manufacturing Supply Chains

Jaggaer

SCM encompasses the integrated planning and execution of processes required to optimize the flow of materials, information, and capital in functions that broadly include demand planning, sourcing, production, inventory management and logistics. This ensures just-in-time (JIT) or just-in-sequence (JIS) delivery to reduce inventory costs.

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How AI Is Reshaping Supply Chain Strategy in the Face of Tariff Volatility

Supply Chain Brain

If you asked those same leaders what they wished they had in place and are now investing in heavily, the answer would be “supply chain analytics.” Moving from raw, unintegrated data to useful supply chain analytics is expensive — and it takes time. Those that didn’t are scrambling to pay down technical debt.

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AI/ML Capabilities Bring Better Signals, Models, and Collaboration to Demand Forecasting

Supply Chain Brain

Among those most impacted are the CPG and retail industries, which have always been more vulnerable due to shifting consumer behaviors, fast-moving products, and complex global supply chains. restricted to what’s available in their enterprise) — sales history, POS trends, inventory levels, among others. Automotive. Industrials.