Before revision:  Our numerical results show that using random forests to estimate customer choices represented by binary choice forests can outperform the best parametric models in synthetic and real datasets  .
After revision:  Our numerical results show that using random forests to estimate customer choices represented by binary choice forests can outperform the best parametric models in synthetic and real datasets when presented with enough data or when the underlying discrete choice model cannot be correctly specified by existing parametric models .