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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. Sorting through this to make a decision on a new planning solution at this time is tough. My advice? You are right. Or the use of AI to improve supply chain planning.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.

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AI in procurement: Applications, Challenges, and Mitigation Strategies

Precoro

Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. Today, procurement is undergoing a transformation. While procurement teams have long worked to add strategic value, Artificial Intelligence (AI) amplifies their impact.

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Freight Procurement is a Different Game

Logistics Viewpoints

Procuring transportation for freight is much different than any other procurement category. There are different tools, goals, and market dynamics. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires. The result?

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Advanced Supply Chain Planning with Probabilistic Forecasting

ToolsGroup

Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires. The result?

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.