AI-Driven Sales Forecasting

Traditional sales forecasting leans on gut feeling and simple trend lines; AI-driven forecasting replaces that with a model that continuously re-estimates demand from incoming data. This simulation visualizes that process directly: a stream of noisy, seasonal sales figures scrolls past an AI model built on Holt's linear exponential smoothing, which re-fits its internal level and trend every period and projects a confidence-banded forecast ahead of "now." Adjust the market's trend, seasonality and noise, tune the model's adaptivity and forecast horizon, and trigger a demand shock to see how quickly — and how accurately — the AI recovers.