Ceres Technology
Trey Hoobler III has extensive work experience in various industries and roles. George William "Trey" is the co-founder and Chief Strategy Officer of Ceres Technology, where they developed an AI Engine to predict delays and disruptions in the supply chain network. As the CEO of The Food Foundation - DBA Hunger Busters, Trey provided healthy meals to food insecure school children and increased production by 600%. George William "Trey" also created a Grants program for the organization.
In addition, Trey worked as an International Law Enforcement Policy Consultant at Chaves and Arce LLP, providing policy recommendations to alleviate human trafficking in Costa Rica. George William "Trey" connected non-profits to human rights advocates and summarized strategies around the Costa Rican trafficking law. Trey also served as a Graduate Assistant at the Center for the Advancement of Human Rights, FSU, assisting in undergraduate curriculum planning, conducting research, and teaching undergraduate human rights courses.
Furthermore, Trey worked as an Assistant Director at The Claude Pepper Center, FSU, where they developed outreach strategies, managed partnerships, and handled a $7 million endowment. Earlier in their career, they served as a Corporate Portfolio Account Manager at The Staubach Company (DTZ Europe), analyzing market reports and leading corporate ventures in Europe.
Overall, Trey Hoobler III has demonstrated expertise in strategy development, nonprofit management, policy consulting, research, and international outreach.
Trey Hoobler III obtained a B.S. degree in an undisclosed field of study from Oklahoma Christian University. Later, from 2009 to 2011, they pursued a Master's degree in Public Policy and Finance from Florida State University, earning an MPA degree.
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Ceres Technology
Ceres is a leader in AI-driven supply chain management solutions that enable companies to reduce their risk and increase resiliency by finding patterns & trends in data to predict upstream disruptions, often months in advance. Our Nostradamus AI engine predicts delays and disruptions in the supply chain network for each purchase order and supplier months in advance with 80%-85% accuracy. It leverages geopolitical events, commodities prices, macroeconomic data, ship transportation data, trade data, satellite imaging, and many more data sources to provide not only a risk probability score for each purchase order and supplier, but also the severity of the delay as well. This allows the ability to respond to delays and disruptions months ahead of the market and competition. Thie enables companies to reduce canceled orders, ensure purchase orders arrive on schedule, and provide a competitive advantages to capture market share from competitors.