Monthly Sales Forecast Assistant

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https://kisstk322.github.io/Monthly-Sales-Forecast-Assistant/ # Monthly Sales Forecast Assistant A Thai/English sales dashboard and next-month demand-forecast tool for a domestic metal-roofing and PU-insulation manufacturer. It reads the company's three Express accounting exports (cash sales, credit sales, deposit receipts) directly in the browser and turns them into a forecast, a best-seller/stock-cover view, and team/customer reporting — nothing is uploaded to a server. University workshop project ("Vibe Coding"). ## 1. How to use it **Live site:** [kisstk322.github.io/Monthly-Sales-Forecast-Assistant](https://kisstk322.github.io/Monthly-Sales-Forecast-Assistant/) The address above (no `/index.html` needed) is served by GitHub Pages and was confirmed working (`HTTP 200`) right before this document was written. Open it, pick a role on the welcome screen, and (as Management) import the three Express CSV files from the **Data & backup** tab. ### Run it locally instead No build step and no dependencies — it's plain HTML/CSS/JS. ```bash git clone https://github.com/KissTK322/Monthly-Sales-Forecast-Assistant.git cd Monthly-Sales-Forecast-Assistant npx serve -l 8000 # or: python -m http.server 8000 ``` Then open `http://localhost:8000`. A service worker will not run from a double-clicked file, so it must be served over `http://` or `https://`. Optional: `node build.cjs` bundles everything into a single offline `dist/index.html` file (no service worker in that build). Automated tests: `node --test tests/*.test.cjs` — 30 tests, curre

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