TransVoyant recognized in 2018 Gartner Market Guide for Supply Chain Analytics Technology

TransVoyant recognized in 2018 Gartner Market Guide for Supply Chain Analytics Technology

supply chain analytics

Alexandria, VA – May 23, 2018 –

We are pleased to report that TransVoyant has been recognized in the Gartner Market Guide for Supply Chain Analytics Technology.  Gartner’s Market Guide focuses on the future of the supply chain analytics technology market, and the leading vendors in this space.

As stated in the guide, “the supply chain analytics market is composed of solutions that provide descriptive, diagnostic, predictive and prescriptive analytics, as well as artificial intelligence and machine learning capabilities to improve supply chain decision making.” At TransVoyant, we continue to lead the industry in leveraging real-time big data and advanced analytics to understand and predict supply chain behavior.  Our customers apply this understanding to improve service, reduce cost and proactively manage disruptions in their operations.


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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose


About TransVoyant Inc.

TransVoyant is at the forefront of the supply chain predictive analytics space.  From global sensors, satellites, radar, smartphones, video cameras, social media 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.  Since 2012 we have been analyzing these massive big data streams with our proprietary machine learning algorithms, and establishing learned behavior models for carriers, lanes, ports, roads, suppliers and other nodes in the global supply chain. These behavior models, coupled with our continuous analysis of real-time and predicted global events, enables us to predict lead times, variability, disruptions and opportunities, and to initiate prescriptive actions that increase revenues and reduce costs.


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