<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prophet on C.CUI's Log</title><link>https://cuicaihao.github.io/tags/prophet/</link><description>Recent content in Prophet on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Thu, 01 Oct 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/prophet/index.xml" rel="self" type="application/rss+xml"/><item><title>Retail Demand Forecasting with Prophet: From Model Fundamentals to Engineering Practice</title><link>https://cuicaihao.github.io/posts/2026-10-01-prophet-retail-demand-forecast/</link><pubDate>Thu, 01 Oct 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-10-01-prophet-retail-demand-forecast/</guid><description>Starting from a single sales record, this article explains how Prophet constructs inputs, estimates parameters, and produces future forecasts. Using synthetic Victorian retail data for an autumn/winter grocery product in Melbourne, it reconstructs forecasts, examines prior and hyperparameter settings, diagnoses model errors, compares Prophet with tree-based and neural-network models, and defines the boundaries of production deployment.</description></item></channel></rss>