In this episode, Hall welcomes Greg Foster, Founder & CEO at Vizen Analytics.
Headquartered in Walla Walla, Washington, Vizen offers a fully-managed cloud AI consumption-based subscription service that maximizes forecast accuracy while reducing inventory holding costs. They enable a better way to project product demand while preventing overstock waste and inventory stock-out conditions. Vizen provides everything your business needs to succeed without making a significant digital IT investment. They do all the work including historical data analysis that’s presented in a gorgeous SaaS UI with integrated SKU predictions.
Greg has over 20 years of sales leadership and technology-based business development experience building great teams and executing successful projects working for and with Fortune 500 companies including Sprint, NTT, Nestle, and Toshiba America. His visionary, strategic thinking has played a role in the implementation of IoT platforms, smart power solutions, and AI-driven supply chain mobility. He has created IP using external data to improve demand forecast accuracy. Before launching Vizen Analytics, Greg gained experience working on other startup-related projects.
Greg speaks about growth in the manufacturing/supply chain segment, the primary trends, his participation in the sector, and changes expected in the coming 12 months.
You can visit Vizen Analytics at www.vizenanalytics.com, and via LinkedIn at www.linkedin.com/company/vizen-analytics.
Greg can be contacted via email at email@example.com, and via LinkedIn at www.linkedin.com/in/gregoryfoster1.
For a full transcript, click here.
Music courtesy of Bensound.
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Hall T Martin is the director of Investor Connect, which is a 501(c)(3) nonprofit dedicated to the education of investors for early-stage funding. All opinions expressed by Hall and podcast guests are solely their own opinions and do not reflect the opinion of Investor Connect. This podcast is for informational purposes only and should not be relied upon for the basis of investment decisions.