After having spent 10 years minimizing costs (HR, Supply Chain, Industrial Asset) I decided to go through the looking glass and ever since ... I maximize revenue. Mathematically speaking, the problems to be solved are a bit harder : there is a customer somewhere, or ten million customers somewhere, whose behavior along the journey cannot be neglected.
I devote my life to consultancy and product development in Customer & Pricing Analytics. The new sources of data, coming from the web and every interaction with the company, make us a bit less ignorant about our customer (constrained) needs. We do our best to leverage on that and offer better services, minimize cost to serve and, hopefully, price better our products.
The technology I use is a mix of:
- Mixed Integer Programming
- Convex relaxations (like Lagrange relaxation for combinatorial optimization)
- Approximate Dynamic Programming
- Reinforcement Learning