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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

In this blog, we explore the different types of predictive AI models for supply chain risk management. Currently, Resilinc uses several predictive AI models in tracking purchase orders (POs) and commodities, autonomous mapping, risk-scoring models, and simulators. How does Resilinc use regression models?

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8 Tips to Help Procurement Optimize Supplier Master Data

ivalua

Gartner predicts that by 2023, organizations that don’t optimize supplier master data management (MDM) could have wrong information for half of their suppliers! Accurate supplier master data (SMD) is essential for procure-to-pay (P2P) automation, accuracy and analytics, but connecting data to users and systems sometimes gets bumpy.

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What is Supply Chain Decision Support? Are We Rearranging Deck Chairs on the Titanic?

Supply Chain Shaman

Let’s zoom to the bottom line: the results are less than optimal for all the monies spent and practices deployed. When he speaks of the supply chain, he means procurement. Likewise, when he speaks about the supply chain, his partner, Yossi, his mental model is logistics. For this blog post, never mind the comparison.

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The One Key Shift in Your Supply Chain and Procurement Strategies that can Drive Better Business Continuity and Resilience

Logistics Viewpoints

Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.

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Definitions Matter

Supply Chain Shaman

Use of optimization to consume planned orders into manufacturing scheduling and distribution requirements planning (including inventory optimization of safety stock). And, there is no translation of planned orders for manufacturing into aggregate procurement. The focus is on functional optimization.

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Better Ways to Address Trade-Offs with Supply Chain Optimization

Logistics Viewpoints

Supply chain optimization has also improved in significant ways that can address these trade-offs better than before. Analytical techniques like linear programming can create the mathematically “optimal” plan, but these methods must be implemented well to avoid creating other challenges. Supply chain optimization for today’s realities.

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Procurement and Supply Chain are Smarter Together – Practical Use Cases

Logistics Viewpoints

In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. By aligning supply chain and procurement, spend can be considered more holistically.