James Greene
Angel Investor @Self
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WORK HISTORY
Angel Investor @Self
Specialize in scalable AI-driven solutions and futuristic technologies with the potential to transform industries and accelerate innovation globally.• Leverage extensive expertise in global market trends, digital transformation, and AI strategy to provide high-impact support to portfolio companies, ensuring long-term growth and scalability.
EDUCATION
Brigham Young University
Bachelor's degree, International Relations and Affairs with a Minor in Business
Thunderbird School of Global Management
Master's degree, Global Management
ABOUT JAMES GREENE
Most product and pricing decisions are still made with lagging research, spreadsheets, and gut feel.That works until launches miss mix. Pricing underperforms. Inventory piles up. And teams are left reacting instead of steering.I build crystal balls for automotive executives who want to know what will win before and after launch.Using AI demand simulation, BlueOwlAI helps leadership teams predict how customers will respond to designs, configurations, features, and price points before decisions are locked and continuously as products evolve in market.What teams use us for:• Predict demand at configuration level• Understand price sensitivity before committing• Optimize mix and margin across launches and live portfolios• Simulate competitive and pricing scenarios before taking risk• Shorten time to insight from months to daysHow it works:Once attributes, price ranges, and competitive inputs are defined, the system begins generating demand intelligence immediately. Teams see early demand curves, pricing signals, and mix guidance fast enough to influence real decisions.This is not a one-off study. It is a living decision system that improves as markets change.I work closely with marketing, pricing, product, and strategy leaders who are accountable for revenue outcomes, not just insights.If you are planning a launch, pricing refresh, or portfolio optimization in the next 90 days,DM me the word SIM and I will share a one-page example of what teams see in the first phase.
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