The digital economy's reliance on software as a core asset is driving an urgent need for transparent, efficient, and objective valuation mechanisms for intellectual property. As code marketplaces expand and the demand for reusable components grows, traditional manual valuation methods are proving insufficient. This technology aligns with the global push for AI-driven automation in knowledge work and provides a critical solution for managing and monetizing software assets in an increasingly complex and competitive landscape.
Achieves High-Precision AI-Driven Valuation: Calculates initial sales price using a multiclass classifier and regression analysis, eliminating subjective human bias for objective and fair value assessment.
Enables Real-Time Price Optimization: Dynamically adjusts the sales price based on market trends and similar code transaction data from external services, ensuring optimal pricing at all times.
Secures Robust IP in a Highly Competitive Sector: Secured patentability despite 12 prior art documents, demonstrating clear differentiation and strengthening market competitiveness against existing source code trading methods.
This patent protects a system for source code trading that uses AI for high-precision, objective value assessment and dynamic pricing based on external market data. Its broad scope, covering 21 claims, was established after overcoming initial rejections, indicating a robust and clearly defined right.
This patent focuses on the pricing and transaction system for source code. It does not cover adjacent areas such as automated code generation, refactoring tools, or advanced code security analysis, offering avenues for complementary IP development.
Reducing source code valuation effort by 80%: 200 hours/month × $35/hour (AI est.) = $7,000/month (AI est.) saved, totaling ~$60K/year (AI est.). Dynamic pricing boosts transaction success rate by 10%, adding ~$65K/year (AI est.) to a $650K/year platform. Similarity-based profit distribution could reduce intellectual property dispute costs by ~$35K/year (AI est.). Total estimated economic impact: ~$160K/year (AI est.).
X: Pricing Accuracy and Fairness
Y: Market Adaptability and Revenue Maximization