This document summarizes a paper presentation on price optimization for fresh produce at Alibaba-owned supermarkets. It discusses how the paper uses machine learning, causal inference, Markov decision processes, and the Bellman equation to predict demand and optimize prices over multiple periods, in a way that was previously not possible with machine learning alone. This led to increased sales of over 20% across 170 stores. The techniques included predicting base sales and price elasticities, framing it as an MDP, and solving the Bellman equation online to determine optimal pricing policies.