Price optimization techniques focus on finding the price that maximizes a defined cost function (or company’s margin), considering many factors like flexibity of prices, location of the customer, seasonal effects, special events and competitor pricing.
Price automation without machine learning is based on pre-defined pricing rules, while with machine learning implies training a model capable of automatically pricing items adapting to changes in the environment in a much richer and dynamic way.