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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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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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The State of the Trucking Market in 2021

GlobalTranz

Fewer labor resources are available to meet the rising demand in both the warehouse and in transit. ? Talent shortages, especially limited drivers, will exacerbate the capacity crunch and result in shortages across warehousing and transportation simultaneously.? . Increasing fuel costs also play into the available capacity woes.?

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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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Handfield’s Supply Chain Analytics Predictions for 2014

Supply Chain View from the Field

I’ve had the good fortune to be presented with opportunities for compelling discussions with a significant group of leading thinkers, senior executives in procurement, logistics, and technology management over this past year. Not surprisingly, analytics is at the top of the list.

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Best Logistics Management Software: Everything You Need to Know Before Making a Purchase Decision

ThroughPut

77% of the world’s largest ports are still facing backlogs, and that doesn’t just affect your logistics efficiency and costs, it impacts your entire supply chain and business. It’s not just about merely managing trucks and warehouses anymore; it’s about seeing the big picture (of your entire supply chain!)

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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.