The Evolution of Kit: Automating Marketing Using Machine Learning - Shopify

What this post added

This post details the evolution of Kit from a rule-based system to an AI-driven assistant. It describes the transition from heuristic rules for marketing campaign configuration to machine learning models for predicting optimal budget (regression) and likelihood of sales (classification). The post outlines the architecture for training and prediction flows, including feature engineering using Apache Spark, model training on Google Cloud's ML Engine, and real-time prediction using Apache Kafka. It also introduces a new use case for acquiring visitors to build lookalike audiences, requiring a shift to real-time prediction.