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Decreasing deadheading in trucking: how carriers are turning to data to maximize assets

FreightWaves SONAR

Wasting resources and assets cost managers a pretty penny. Fortunately, smart data utilization can help reduce deadheading occurrences and make the entire supply chain more profitable. Waste matters in the shipping industry because every instance leads to higher freight costs. And it’s essential to understand why. .

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Why accurate predictive freight rates are only possible with holistic and real-time data

FreightWaves SONAR

Big data and predictive freight rates in the digital supply chain are nothing new. Nearly all shippers, brokers and carriers collect and use data to derive insights, including predictive rates. Unfortunately, the most robust applications of that data will quickly diminish in value as data ages. Download the White Paper.

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Stop Wasting the Quotes You Don't Use With Parade's New Capacity Management Feature

Parade

How Parade is Helping Brokerages Never Waste a Quote Again Rolled out just last week, Parade has a new feature that allows customers to capitalize on past quotes that they didn’t use for whatever reason to find new capacity and open the door to building relationships with new carriers. Reach out to our team to set up a demo.

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Stop Wasting the Quotes You Don't Use With Parade's New Capacity Management Feature

Parade

How Parade is Helping Brokerages Never Waste a Quote Again Rolled out just last week, Parade has a new feature that allows customers to capitalize on past quotes that they didn’t use for whatever reason to find new capacity and open the door to building relationships with new carriers. Reach out to our team to set up a demo.

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Big data and inventory management

EazyStock

What is big data? All successful businesses use data to develop strategies and review their outcomes. But as the number of systems being used increases, the amount of data available for consumption and analysis grows exponentially. Unstructured data isn’t as accessible to search or export and is often text-heavy.

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Truckload Shipping Procurement: How Large Data Sets/AI Aid in Pricing and Capacity Outlooks

FreightWaves SONAR

The problem looms large for shippers and managers across the supply chain network, but the answer is out there – better utilization of smart data and automated processes. Poor data analytics cause disruptions. The inability to properly review data and make educated predictions can exacerbate unplanned disruptions and errors.

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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. And it’s in this space where big data analytics can add the most value.

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