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Making Logistics Data Actionable: Insights from Freightos and Gryn

Freightos

Home Making Logistics Data Actionable: Insights from Freightos and Gryn July 7, 2025 Blog Data is the backbone of efficient decision-making. However, transforming raw data into actionable insights remains a significant challenge for many logistics organizations. That’s the reason why you are collecting data.”

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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 And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences.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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Last Mile Delivery Optimization Strategies for 2025

WorkWave

As customers increasingly demand rapid and reliable delivery, optimizing this final leg of transportation becomes essential for businesses aiming to enhance customer satisfaction and operational efficiency. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations.

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Digital Pest Control Log Books: Key Benefits and Implementation Tips

WorkWave

By centralizing pest management data and leveraging actionable insights from real-time analytics, businesses can optimize strategies and enhance operational efficiency. This transition enables pest control operators to reduce human error, improve data retrieval, and ensure compliance with state and federal regulations.

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Retail enterprise suppliers’ best practices to use global trade data

FreightWaves SONAR

Global trade data and shipping demand management are not just things that high-tech companies and international investors need to worry about. This focus makes proper use of global trade data and analytics so vital for continued recovery and growth throughout the supply chain network. Streamline data collection and analysis.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

For example, if an asset issue was detected, solving that issue could involve multiple applications used by multiple people, seeing different information, entering different data, bouncing emails and texts back and forth, and moving information from one place to another. We needed to model the data in a way that we can do simple searching.

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Navigating LTL Shipping Essentials in 2025: A Broker’s Field Guide

Turvo

Leading brokers are tightening product data at the source—capturing dimensions, weight, and commodity descriptions before the bill of lading is even drafted. A Tech Stack That Stays Out of the Way Point solutions can solve singular problems but often scatter data across silos. Schedule a demo today. Want to see how?