Looking on opinions on how to improve Random Forest or alternative techniques • /r/MachineLearning

My data: I am using random forest to essentially predict which price each person should get to increase revenue uplift. I then run 4 models to predict how much a customer would spend on each price (IE I separate the data by the price the customer gets, so model is run on 4 separate datasets). I then use the 4 models on the validation/test data to see how much the new customers would spend for each price. I then take the max of those 4 predicted prices and use that as the predicted price we should give that customer. I then compare the predicted price point with the actual price the customer was given and calculate the mean revenue for those where predicted actual.