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Crucial MRP Metrics Every Supply Chain Pro Should Know

SCMDOJO

This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. The metrics that underpin MRP could be described as the balls in this juggling act. This article takes an in-depth look at the crucial metrics every supply chain professional needs to know.

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Track the Supply Chain Metrics that Really Matter

Precoro

To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.

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13 Important Roles of Data Analytics in Supply Chain Optimization

SCMDOJO

Supply chain optimization can achieve this with the help of data analytics. Data analytics helps businesses make data-driven decisions and initiatives. How does data analytics help supply chain optimization? Let’s explore the roles which data analytics play in this process. Why is it crucial? Download from the below link.

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Unlocking Success: Why Strategic Sourcing Is Important for Your Company

Precoro

As part of the larger procurement process, sourcing involves finding and evaluating suppliers for goods or services that need to be purchased. Goals beyond the best purchasing price fall into strategic sourcing. Simple sourcing takes less time to execute and requires fewer resources to plan, but can cost more down the road.

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The State of the Trucking Market in 2021

GlobalTranz

Pent-up demand of customers and the strong predictions for another above-average peak season has put a unique burden on truckload and parcel transportation. A Possible Stimulus on the Horizon May Increase the Challenge of Procurement Through Peak Season. transportation metrics ?that today’s freight market, OTR freight services?enable?continued

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Unlocking Efficiency with AI in Business Process Automation

Elementum

This integration allows for the automation of straightforward tasks, freeing up resources for more complex processes that require AI’s predictive capabilities and decision-making. Predictive analytics forecast potential disruptions, allowing for proactive measures to minimize delays and enhance customer satisfaction.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.