Data Events Examples How To 
The Logistics of Logistics
FEBRUARY 11, 2022
How to Improve Exception Management with End-to-End Supply Chain Visibility. Original article: How to Improve Exception Management with End-to-End Supply Chain Visibility. Having to send emails, make phone calls, and interpret legacy data associated with past shipments compounds the level of complexity. Loss of upset customers.
Logistics Business Magazine
SEPTEMBER 7, 2023
Most shippers, carriers and logistics service providers understand the importance of data collection and data-driven decision-making. Data collected over time provides intelligence, enabling companies to enhance long-term decision-making. Artificial intelligence is a potent tool that helps companies get the most from their data.
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3PL Links
DECEMBER 3, 2023
Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.
EazyStock
MARCH 17, 2021
In this piece, we’ll take a look at some of the top types of supply chain disruptions, the impacts that they have on your supply chain, how to mitigate whatever risk you can and finally how you can handle supply chain disruptions once they occur and come out on top. Black Swan Events. Types of Supply Chain Disruptions.
Trinity Logistics
JANUARY 19, 2024
Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. That is one example of a public version of Generative AI.
Logistics Bureau
NOVEMBER 16, 2020
You are not alone, especially as in the time since we first penned this article, one huge and unforeseen event has raised awareness of the global importance of this vital sector—and shown it to be an attractive career choice. That event was the global COVID-19 pandemic, which erupted during the first half of 2020.
Logistics Viewpoints
JANUARY 25, 2024
Instead start with the foundation of your AI strategy, which should be an understanding of your company’s supply chain and your data. Consider a planner in Brazil working with the previous lead time prediction example, who has forgotten how to update the parameters. Because it doesn’t understand, we need humans at the helm.
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