Presented by
Eric Fullerton
3 Ways Data Science Can Help You Build a More Resilient Supply Chain
About this talk
Everyone loves to talk about data science and machine learning as the silver bullet for improving the efficiency of the global supply chain. Yet these conversations are often highly technical and complex without providing real-world applications of the value and outcomes data science can provide.
In this presentation you will learn how the four pillars of data science increase data accuracy, understand the top three business benefits of applying these pillars, and hear three detailed success stories of organizations who have used data science and machine learning to solve complex supply chain challenges.
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Coyote Logistics is a leading global third-party logistics provider that combines a diverse, centralized transportation marketplace matching more than 10,000 shipments every day. Coyote offers a comprehensive multi-modal solutions portfolio – including truckload, less than truckload (LTL) and intermodal – with data intelligence and market insights to help empower our customers' business growth in a rapidly-changing world. As the supply chain market adapts to match higher customer expectations and evolving technologies, so do we. Our fundamental mission remains the same: to do the right thing, for every customer and every opportunity—no matter the market condition. We became a UPS company in 2015, adding UPS asset utilization, air & ocean freight forwarding, and more to our expanding portfolio of global services. Headquartered in Chicago, Coyote has more than 3,000 employees operating in 20 offices worldwide.