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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.

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How AI and BI Empower Lawn, Pest, Cleaning and Security Industries to Harness Their Data for Success

WorkWave

For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business. Lets explore how AI and BI empower these industries, using specific examples to illustrate their transformative potential.

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How cargo survey for refrigerated and frozen cargoes works

Shipping and Freight Resource

This cargo is further divided into goods carried in: Frozen state example meats, fish, and butter, Chilled state example beef, vegetables, cheese, and eggs and. Air cooled condition example Fruits and vegetables. Marine Cargo Survey Practices. Ensure that cargo manifests match what’s being shipped.

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Last Mile Delivery Optimization Strategies for 2025

WorkWave

Table of Contents [Open] [Close] Significance of Last-Mile Delivery Optimization Implementing Innovative Strategies The Role of Data Analytics Sustainability: A Necessary Focus 1. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations. Electric and Alternative Fuel Vehicles 2.

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The 7 Truths of Customer Service in Your Supply Chain

Logistics Bureau

Let’s look at my 7 truths of customer service that every business should consider; Most companies don’t truly know their customers’ service needs, though they think they do This often stems from insufficient customer interaction, lack of surveys, and limited performance measurement Even after working with thousands of businesses over (..)

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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

A recent survey conducted by the International Road Transport Union (IRU) industry association shows that this bottleneck has exacerbated worldwide over the past two years. This is where big data technologies come into play. Big data for real-time optimizations in transport logistics.

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Celanese Leads the Pack When it Comes to Agentic AI

Logistics Viewpoints

According to a survey by ARC Advisory Group, only 10% of industrial companies are ready to apply artificial intelligence/machine learning. What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. We needed to model the data in a way that we can do simple searching.

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