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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 And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences.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.

Data 98
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Types of Risks Impacting Supply Chains in 2018

Material Handling and Logistics

To look at what risks will affect the supply chain in 2018, Rob Savitsky of AIR Worldwide ( a member of the MIT Center for Transportation & Logistics Supply Chain Exchange program), wrote a blog for MIT discussing three broad categories of supply chain risk. Savitsky points to the example of a potential disruption that was averted.

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Data analytics for logistics drives reefer efficiency via a real-time forecast

FreightWaves SONAR

Data analytics for logistics can make all the difference in the world when it comes to reefer truckload service delivery efficiency. However, the data [that powers them] hasn’t previously been utilized to its full capacity until recently.” Take the example of RCRPMF.USA in the image. last year and $2.19 the year prior.

Data 97
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Data standardization and its benefits – Executive Insights with Thomas Bagge, CEO of DCSA

Shipping and Freight Resource

Data the “new” gold, is in high demand all over the world and especially now in the shipping and freight industry. But just data alone is not going to assist. Data and its usage must be standardised and there must be a standardised approach to digitalisation. TB : Thank you and glad to be here.

Data 90
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Innovative Synergies: Logistics Tech Lessons from Other Industries

Freightos

Air cargo for example, though continuing to make digital strides, is still behind – and is often compared to – passenger travel where digitized capacity, pricing and online bookings have been around for decades and is in some ways the digitalization template air cargo is referencing. But this problem isn’t new.

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7 Supply Chain and Logistics Trends to Watch in 2018

Logistics Bureau

My post on key trends to watch in 2017 received a lot more attention than I anticipated, so I figured it can’t hurt to gather my thoughts and pull together another collection for 2018. The 7 Trends for Supply Chain Pros to Watch in 2018. 2018 Trend #1: Increased Focus on Cost-to-serve.

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Machine Learning Solves Four Major Challenges Facing Supply Chains in 2018

Morai Logistics

Machine Learning is a methodology analytics leader, SAS , describes as: A branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. This advanced system of data analytics has helped transform our everyday lives. Demand Forecasting.