Virtual customers: Testing decisions before investing money | Computing

▤ Summary

This article describes a digital twin of a customer model built with generative AI to simulate how customer segments may react before a company launches products, changes pricing, or spends on marketing. The research team validated the model with an experiment involving 105 participants and identified recurring behavioral profiles. The model reproduced real-world response patterns with notable consistency, especially around interest, purchase intent, and comparative evaluation. The approach points to a broader digital twin economy where organizations use simulation to test decisions before committing budget.

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