2017 Data Study Webinar 
AIMMS
JULY 19, 2017
The list includes the best of our blog and news items, our latest webinars and most recent case studies. Often, teams think they also need plenty of clean and accurate data to do it right. The webinar also features our customer Christian Olsen from Höegh Autoliners, a leading global provider of vehicle shipping services.
AIMMS
JULY 19, 2017
The list includes our best supply chain analytics blogs and news items, our latest webinars and most recent case studies. Often, teams think they also need plenty of clean and accurate data to do it right. It’s the perfect companion for an inspiring holiday break! .
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GlobalTranz
FEBRUARY 6, 2018
2017 was the year that blockchain technology finally made world headlines, but it was mostly for the wrong reason. Ethereum shares some common features with Bitcoin, including how it’s mined by computers and codifies unique data that can be used to track everything from transactions to an exchange of goods (more on that below).
GlobalTranz
APRIL 6, 2016
Regardless of what studies say, shippers do not want to actually outsource all properties and operation to third-party providers, often called managed transportation. As a result, 69 percent of all shoppers are expected to be fully utilizing a TMS by the end of 2017, if not the end of 2016. Shippers demand in-house solutions.
GlobalTranz
DECEMBER 29, 2015
Transportation Industry Braces for a Looming Transportation Capacity Crunch Crisis in 2017. In fact, recent studies have shown that only about 35 percent of shippers are using TMS to manage their operations. Especially when it comes to applying big data to solve the largest problems facing the trucking industry.
AIMMS
JANUARY 9, 2018
Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel. Then we’ll have a more consistent way of getting our data.
AIMMS
JANUARY 9, 2018
Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel. Then we’ll have a more consistent way of getting our data.
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