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5 Analytic Shipping Data Insights for Shippers From SONAR

FreightWaves SONAR

Supply chain intelligence and actionable insights must apply the most accessible, near real-time data available. Analytic data resources for brokers are great, but it’s equally important to realize that FreightWaves SONAR is much more than a broker-exclusive resource. Download the White Paper.

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Why near-real-time electronic freight tender trucking data is more reliable than waiting on submitted data

FreightWaves SONAR

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

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Why is freight data a powerful weapon in the era of COVID-19?

FreightWaves SONAR

The COVID-19 crisis unveiled major issues within global supply chains and, as we have seen with SONAR freight data, volatility in the market. For those that make the right applications of freight data, the massive problems created by the pandemic could have been more easily mitigated.

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How transportation brokers should start each morning with FreightWaves SONAR-fueled data

FreightWaves SONAR

However, the application of such data does not necessarily translate into meaningful improvements within day-to-day operations. Yes, analytics add value, but that value often gets overshadowed by the sheer volume of freight data insights available. Download the White Paper. That is simply unacceptable.

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How Big Data And Analytics Are Transforming Supply Chain Management

The Logistics Academy

Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain management than in other areas of operation such as marketing or manufacturing.

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The Top 5 Changes That Occur With AI in Logistics

GlobalTranz

The tech is using data to its full potential to better anticipate events, avoid risks and create solutions. For example, DHL analyzes 58 different parameters of internal data to create a machine learning model for air freight. GET YOUR FREE WHITE PAPER. DOWNLOAD WHITE PAPER.

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Can Advanced Analytics Put a Pin in OTIF?

Blue Grace Logistics

According to the 2020 Third-Party Logistics Study, data analytics is not only becoming more viable in the logistics industry, but it’s also becoming a necessity and make a difference. What if there’s a major weather event that has the logistics network scrambled? Langley sites dynamic pricing in freight for an example.