Hi,

I am working on a price optimization problem for 50000+ retail products. As a first step, my demand model is ready and it is based on Gradient Boosting Algorithm.For everday, given a price, the model is able to predict the quantity that will sell in the whole day.

Now, using this I need to make an optimization model that can auto assign the optimized price for each product so as to maximize the revenue keeping a minimum desired gross margin.

Need suggestions on how to proceed with this and what algorithms can work in this case.

Thanks