The primary challenge lay in aggregating fragmented industry data into a cohesive predictive engine. I had to architect a system capable of analyzing diverse variables, from Kickstarter conversion rates to retail distribution margins, and distilling them into a simple Go/No-Go viability score. This required building a proprietary database of deal terms and standardizing the logic for comparable titles to ensure accuracy. I designed the user experience to be frictionless, masking the complex calculus behind a clean, intuitive dashboard that auto-generates professional accurate business plans, deal terms, and MOUs to negotiate from a position of strength while still affording the user the ability to fine tune the assumptions and see updates applied to their output in real time.