Tom is a business executive with over 30 years of experience in wholesale distribution. He has senior-level management experience in sales, marketing, operations, finance, and IT. Tom’s work is centered around continuous improvement and business performance optimization. He embraces change. Tom has worked in long-term positions with some of the best known and most successful private and public companies in their respective areas – both generalists and specialists: McMaster-Carr Supply Co., Grainger, Orr Safety, and most recently, IDN Global, Inc. in the role of President and executive sponsor for e-commerce, www.idn-inc.com.
In these positions, Tom has consistently worked to implement best practices and has then identified, designed, developed and implemented technology-related solutions to enhance business efficiency and effectiveness. Examples include Customer Information Management Systems for multi-million dollar integrated supply contracts, the first electronic catalog in the B2B/MRO space, CMMS integration with e-catalog, website development/management, CRM system design and implementation, and various e-Commerce projects.
Current interests and efforts are focused on leveraging technology in the wholesale distribution business. In short, further embracing and managing change, especially in this Age of Digital Disruption. Specific work is centered on delivery of industry-leading e-commerce solutions along with innovation/collaboration in the application of data science and artificial intelligence in this space.
In addition to founding Qubidex, Tom is co-founder of Nextin, Inc. Nextin is a business created to identify inventions/innovations with promise and to take them from concept to delivery.
Tom holds a BA in Economics from Middlebury College and an MBA from Loyola University Chicago Quinlan School of Business (Beta Gamma Sigma – international business honor society).
He has actively undertaken ongoing executive education at ASU - Center for Services Leadership (CSL) within the W.P. Carey School of Business; Ohio State University Fisher College of Business; the University of Michigan Graduate School of Business, and most recently, Stanford University - Machine Learning/Artificial Intelligence.
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