Effective analytics adoption is a prerequisite to supply chain digitalization. Yet supply chain analytics success is oftentimes stifled, not by a shortage in data science talent, but by lack of alignment with supply chain priorities and low user adoption. Supply chain organizations struggle to create a balanced supply chain analytics team that satisfies the three pillars of analytics: data science, supply chain expertise and data management. In this complimentary supply chain webinar, supply chain leaders responsible for analytics talent and strategy will learn which roles and skills to pursue to succeed in supply chain analytics.
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Supply chains are complex by nature. Global, multi-modal, time-critical, and relying on numerous participants to work in harmony. However, even within harmonious networks blind spots exits. These visibility gaps, generate mistrust, encourage information silos, and obstruct cross functional cooperation. The subsequent inefficiencies cost companies’ money, time, and reputation.
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Trax
TSM is a game-changing approach for managing transportation spend and extending traditional freight & parcel audit and payment. Not only is TSM able to provide enhanced visibility and visualization of transportation spending across modes, carriers, geographies or businesses but also pinpoint where and why spending is changing, with precision, so that decisive action can be taken.
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Spireon
In 2016, large trucks were involved in 475,000 total crashes that resulted in approximately 180,000 injuries and 4,564 fatalities. Although large truck crash rates are much lower than historical averages, the rate of injury and fatal crashes has risen during the 2010-to-2016 time frame.One of the most effective ways for fleets to reduce crash rates is to create an enhanced positive safety culture. Although changing culture within a fleet is difficult, it can be done.
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