Data Examples Knowledge Base 
Log-hub
AUGUST 14, 2024
By leveraging technology, data analytics, and innovative strategies, companies can streamline their supply chains and achieve significant improvements. Here are some real-life examples of successful supply chain optimization across various industries.
Logistics Viewpoints
JUNE 22, 2022
For example, “maximize revenues within a theoretical facility that had two constraints.” This was a technical process, applied in a fairly simple fashion to an extremely high-level set of examples. It was a sensible and interesting transition from my knowledge base. What about the data quality?
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Logistics Viewpoints
JUNE 22, 2022
For example, “maximize revenues within a theoretical facility that had two constraints.” This was a technical process, applied in a fairly simple fashion to an extremely high-level set of examples. It was a sensible and interesting transition from my knowledge base. What about the data quality?
Logistics Business Magazine
DECEMBER 11, 2022
For example, a big-box retailer that started to build out its pickup services, it delivery services, and so on, so that when the world pivoted, and stores were closed, but people still wanted this retailer’s products, it already had all of that investment there. Consumers are looking for more durable products.
Logistics Viewpoints
MAY 10, 2022
For example, related to warehouse technology, a recent Lucas Systems industry study found 89% of respondents agreed that implementing artificial intelligence-based software within distribution centers can provide a competitive advantage. Does it require manual data entry? Technology can play an important part.
Parade
MAY 8, 2019
In the case of brokerages, it would be impossible for their carrier sales reps to quickly, efficiently and reliably digest and understand all data about 10,000s of carriers. Without solid data collection, these emerging technologies would be impossible. Not very helpful. Not very effective at all.
Logistics Bureau
JANUARY 1, 2018
The following are examples. A key example is the expert system. This AI tool is based on data and rules. With more data and greater processing power now available, computers that learn by themselves have become more feasible. Using ML, a computer automatically finds patterns in data. Hard to plan for demand.
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