Executive Briefings

Freightgate Announces Predictive Analytics for Logistics Management

Freightgate, a global provider of Logistics Cloud Solutions, announced enhanced predictive analytics capabilities in its logistics cloud platform, known as the Freightgate Universe.

Recently Freightgate advocated that predictive analytics and business intelligence will help manage every aspect of supply chain and logistics management. Predictive analytics enhances the quantitative value of raw data allowing logistics managers to analyze current and historical facts to make predictions about future events. Newer advancements in data aggregation and pattern recognition have opened new realities for logistics management.

In complex and dynamic supply chains, meaningful data segmentation and classification becomes nearly infeasible to dissect and extract value due to its sheer volume, eclectic sources, and diverse configurations. Predictive modeling helps logistics professionals see the future providing opportunities to create better service performance while reducing operational costs and mitigating risks.

"Continuous improvements in a company's logistics management starts with the ability to gather data, measure performance, and find meaning full correlations to transform raw data into actionable information," said Martin Hubert, president of Freightgate. The Freightgate Universe enables greater efficiency in gathering and normalizing information to mine, analyze, measure benchmark providing ability to make timely decisions crucial to business success, he said. The power of leveraging big data requires scalable storage, processing, archiving, and extracting capacity limited to a few technology companies like Freightgate who have made sizable investments in their cloud computing infrastructure.

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Recently Freightgate advocated that predictive analytics and business intelligence will help manage every aspect of supply chain and logistics management. Predictive analytics enhances the quantitative value of raw data allowing logistics managers to analyze current and historical facts to make predictions about future events. Newer advancements in data aggregation and pattern recognition have opened new realities for logistics management.

In complex and dynamic supply chains, meaningful data segmentation and classification becomes nearly infeasible to dissect and extract value due to its sheer volume, eclectic sources, and diverse configurations. Predictive modeling helps logistics professionals see the future providing opportunities to create better service performance while reducing operational costs and mitigating risks.

"Continuous improvements in a company's logistics management starts with the ability to gather data, measure performance, and find meaning full correlations to transform raw data into actionable information," said Martin Hubert, president of Freightgate. The Freightgate Universe enables greater efficiency in gathering and normalizing information to mine, analyze, measure benchmark providing ability to make timely decisions crucial to business success, he said. The power of leveraging big data requires scalable storage, processing, archiving, and extracting capacity limited to a few technology companies like Freightgate who have made sizable investments in their cloud computing infrastructure.

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