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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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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark. Leveraging AI for demand forecasting means: You can analyze any amount of historical data and current trends from external sources to predict future demands more accurately. You can identify near-term market shifts with greater precision.

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A Long Road Ahead for Procurement Professionals Managing Their Supply Chains

ModusLink Corporation

Procurement experts face transportation costs, customer demands, and high pressure on global container and air freight rates. But what does that mean for future strategies in procurement ? Let’s think back on demand forecasting and warehousing management. Ongoing Optimization Shippers must optimize their procurement strategies.

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Data Analytics: The Secret Ingredient to Efficient Inventory Management

RFgen

The role of data analytics in optimizing inventory management processes has become increasingly important. Analytics help organizations make smarter decisions, reduce costs, and improve customer satisfaction. But your analytics is only as good as the underlying data. That’s why most inventory handlers leverage data.

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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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Predictive analytics in procurement means using whatever data is available

NC State SCRC

Predictive analytics is still relatively new in procurement, but it’s increasingly important, particularly in organizations that have already been through the cycle of spend analytics, supplier leveraging, segmentation, and consolidation. Many executives we interviewed in our research responded “yes”. Absolutely.

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Supply Chain Analytics: What It Is and Why It Matters

QAD

What is Supply Chain Analytics and Why is it Important? Supply chain analytics allows businesses to examine their operations and view data in real-time. With supply chain management analytics software, companies can improve decision making, take a proactive approach and quickly mitigate issues before they explode into bigger problems.