B.S.B.A. in Finance and Marketing from Boston University School of Management, along with a Law Degree and LL.M. in Taxation. At BU, I served as Articles Editor for the University's Journal of Tax Law. I have written many studies about retail analytics and digital communication networks, with a patent-pending, and have published articles in journals including the American Bankers Association Journal, Extended Retail Solutions, and Retail Information Systems News, among many others. Quotes include publications such as Bloomberg, Business Week, Chain Store Age, Chicago Tribune, CNN Business, DSN Retailing Today, Inc. Magazine, MIT Technology Review, RFID Journal, Stores Magazine, the San Jose Mercury News, Time Magazine, USA Today, and Wall Street Journal. I have also appeared as a guest analyst on the CBS Evening News and Early Show and ABC World News.

RetailPredict is focused on enabling sustainable revenue and profit improvement for retailers by deploying scalable AI solutions. Our solutions are easy to implement decision-delivery AI models that can be deployed rapidly at a low license fee per user. Each model fits within our AI Hub, enabling customers to select a range of solutions based on their needs. Centralized data makes adopting other models easy as well. Our apps are of low complexity and easy to scale. In addition, generalized data incorporated into our Hub can easily add features for a client to enhance the outcomes. This includes, for example, weather, census demographic data, road traffic, and local events.