Optimising Customer Satisfaction: Predictive Insights for Reviews and Delivery
As part of an analytics consultancy pitch for Nile, a leading South American eCommerce platform, developed a predictive model using Gradient Boosting Decision Trees (GBDT) to forecast customer review sentiments and optimise satisfaction. This project proposes a roadmap with an MVP implementation and V1, V2 and V3 guide to improve operational efficiency and enhance customer experience.