This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

A model-agnostic library for generating explanations of machine learning predictions, supporting diverse XAI methods like CEM and LIME.