Which scenario necessitates the use of Box-Cox transformation over a simple Log transformation?

Log transformation is a special case of the Box-Cox transformation (where lambda = 0). Box-Cox is a parametric power transformation that searches for the optimal lambda parameter to stabilize variance and make data more closely resemble a normal distribution. If a simple log transformation is insufficient to normalize the data, Box-Cox provides the flexibility to find the specific transformation power required.