Remove Predictive Analytics Remove Procurement Remove Transportation Remove Warehousing
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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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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.? . transportation management optimization ?to

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From Real-Time Visibility to Real-Time Decisions: Data’s Value Is Propagating Across Global Supply Chains

Logistics Viewpoints

Nine years ago, my company FourKites pioneered the market for real-time transportation visibility. We’re currently on the cusp of a big incremental change in the industry’s transformation journey, as the value of real-time supply chain data is increasingly being felt far beyond transportation logistics. Lesson learned.

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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. Let’s consider the challenges and define a few strategies to help.

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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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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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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.