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Beyond The Data with William Sandoval

The Logistics of Logistics

Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.

Data 313
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A Trillion Dollars in Freight Transactions with Ken Adamo

The Logistics of Logistics

Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. He is responsible for driving strategy, customer engagement, and industry analysis.

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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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Supply Chain Optimization: Leveraging Integrated Scenario Planning as a Margin Multiplier

Logistics Viewpoints

APS are complex, live production environments requiring extensive configuration to accurately model a business’s operational reality. By aggregating and disaggregating data in a manner similar to existing S&OP processes, ISP ensures consistency and clarity.

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Optimizing Warehouse Efficiency: A Warehouse Manager’s Expert Guide to Waste Elimination

Logistics Viewpoints

In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. One effective method to optimize packing is the standardization of carton sizes. Product slotting is a complex problem.

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Editor’s Choice: AI in Supply Chains: Which Data is ‘Just Right’ for Your Business?

Logistics Viewpoints

Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.