The Leader in End-to-end Supply Chain Transparency & Live Situational Awareness
Predicting supply chain behaviour using Big Data, Machine Learning/AI, and Blockchain to enable actionable intelligence and power continuous improvement.
(1:59 min.)
TransVoyant is at the Forefront of the Predictive Analytics Space
From sensors, satellites, radar, video cameras, smartphones and other IoT devices, we collect over one trillion events each day, giving us one of the largest repositories of real-time Big Data in the world.
(2:19 min.)
Fortify Our Future – Digital Transformation of the “Plant-to-Patient” Supply Chain
Learn how to proactively see, understand and continuously improve global supply chain transparency and situational awareness to save shipments, improve customer service and avoid unnecessary operational spending.
(59 min. webinar)
Why Brooks Runs on Big Data for In-Transit Visibility
Chase Mueller, Manager, Supply Chain Visibility at Brooks Running, details how Brooks is using real-time big data and predictive analytics to dynamically manage availability date, drive efficiencies in downstream operations, reduce lead time, and improve
customer service.
(10:30 min. presentation)
Supply Chain Transformation Using Real-Time Big Data and Predictive Analytics
Is your current visibility solution providing you with a truly global view? Can you anticipate how disruptions such as weather, consumer behavior, traffic patterns or labor unrest will affect your supply chain?
(40:40 min. webinar)
Embarking on a Journey to the Digital Supply Chain
Supply chain visibility is just the first step in the journey toward enabling a digital supply chain, says David McCarty, Vice President of Customer Solutions with TransVoyant.
(9:08 min. interview)
Cognitive Supply Chain at IBM World of Watson
Moderated by Harriet Green, IBM General Manager, Watson Internet of Things, Commerce and Education, TransVoyant’s VP of Marketing, Scott Byrnes, explains how cognitive computing is enabling supply chain professionals to perform their jobs more effectively.
(2:43 min. interview)