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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics. Key Insight: The use of AI in supply chain automation is producing tangible benefits across procurement, warehousing, and logistics.

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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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Centralized Purchasing System – Key Benefits and Effective Strategies

Precoro

For most CPOs and CFOs, deciding on the right purchasing setup — centralized or decentralized — is no small task. Each model has its perks, and choosing the best fit can feel like walking a tightrope. Keep reading to learn: What is centralized purchasing? What is centralized purchasing?

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Freight Procurement is a Different Game

Logistics Viewpoints

Procuring transportation for freight is much different than any other procurement category. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters. Procurement ran a request for proposal event.

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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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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

The Science of Demand Planning: Improving Forecast Accuracy Consider this example: A traditional forecasting system analyzing tire sales might observe 12 units sold annually and determine an average monthly demand of one tire. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.

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Advanced Supply Chain Planning with Probabilistic Forecasting

ToolsGroup

The Science of Demand Planning: Improving Forecast Accuracy Consider this example: A traditional forecasting system analyzing tire sales might observe 12 units sold annually and determine an average monthly demand of one tire. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.