The underlying principle is applicable across industries. Wherever historical transaction data exists and prices are determined based on object characteristics, a comparable model can be built: used machinery, real estate, IT assets, B2B surplus stock, commodities.

The prerequisites are the same in every industry: a sufficient database of historical transactions, structured object characteristics, and a defined valuation process. What changes are the features, the data sources, and the industry-specific particularities. The statistical method and the architecture remain identical. Mid-sized companies that have several years of transaction data already have the foundation for AI-powered price determination.