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6 Types of Automation [Benefits, Pros/Cons, Examples]

Conger

Examples of automation range from a household thermostat to a large industrial control system, self-driven vehicles, and warehousing robots. They have fixed machines that enable their production of large quantities of soft same-unit drinks to meet high demands. Examples are industrial robots and multipurpose CNC machines.

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Freight Market Intelligence: Data is crucial, but context is king

Freightos

In this article, Eytan Buchman, Freightos’ CMO, discusses the importance of data and context in global freight and logistics. The future of global freight data lies in real-time information, contextual insights, and aggregated data that can help companies make better decisions and adapt to a rapidly changing industry.

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Global Logistics Market Analysis: 2022 Summer Edition

MTS Logistics

We experience such diverse supply chain disruptions that tracking the data on U.S. For example, recently Target was forced to write down the value of excess inventory that’s stuck in warehouses. One further major indicator we need to take into consideration was the final session of the 2022 FIATA HQ meeting in Geneva last week.

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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 And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences.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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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

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Precise, Comprehensive Data in Air Freight

Logistics Business Magazine

. “Air freight forwarders should use this period to ensure that they can provide the airlines with the additional data required,” advises DAKOSY authorized officer Dirk Gladiator. In any case, the participating service providers must deliver more comprehensive data that meets a very high standard.

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How Data Can Improve Last-Mile Delivery

Shipchain

But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.

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