Intermittent demand is often marked by many periods with zero demand and occasional periods with nonzero demand, making it challenging for demand planners. In this article I examine the performance of four machine learning models—LSTM/RNN, SARIMA, XGBoost, and Croston—for estimating intermittent demand. To evaluate these models, I conducted 40 rounds of time series simulations using two patterns: 20 series based on a lognormal distribution (featuring numerous zeros and low-de

You've probably heard of AI agents, right? If this term sounds strange to you, you may have already interacted with these systems in their simplest form: chatbots. However, the concept of agents goes beyond simple chatbots. They are powerful artificial intelligence tools that tend to impact the future of how we currently work in companies. Trying to simplify the concept of AI agents in a few words: They are artificial intelligence architectures “empowered” with tools. These p