Remove Data Management Remove Metrics Remove Procurement Solutions
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AI Agents in Procurement: The Ultimate Guide

ivalua

As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. They can learn and improve over time, as they collect new data and feedback.

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AI Agents in Procurement: The Ultimate Guide

ivalua

As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. They can learn and improve over time, as they collect new data and feedback.

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Step Past AI Hype Drive Real Value

Supply Chain Shaman

Building a software company is hard work. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. The building of data listening platforms to enable teams to answer the questions that they did not know to ask. In the real world, data will never be pristine, clean, or odor free.

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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. You don’t act on a forecast; you act on what you purchase.

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Enterprise Spend Analysis: How to Reduce Cost and Risk

ivalua

If you’re evaluating procurement technology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. Misaligned priorities across finance, legal, and procurement create friction that delays decision-making and reduces impact.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

The Failure of Existing Demand Planning Solutions. During the pandemic, supply chain leaders turned off their demand planning solutions. The systems–based on shipment and order data–were out of step with the market. Also, the solutions lacked flexibility. Watermelon Metrics Don’t Drive The Right Results.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. They prepare equipment for maintenance, do isolation (disconnect a piece of equipment from the flow of chemicals by closing valves), look at quality or reliability metrics, and do rounds. This ends in a spaghetti approach to data integration.