什麼是 inventory-demand-planning?
針對多地點零售商的需求預測、安全庫存優化、補貨計劃和促銷提升估算的專業知識編纂。 來源:sickn33/antigravity-awesome-skills。
針對多地點零售商的需求預測、安全庫存優化、補貨計劃和促銷提升估算的專業知識編纂。
透過命令列快速安裝 inventory-demand-planning AI 技能到你的開發環境
來源:sickn33/antigravity-awesome-skills。
Use this skill when forecasting product demand, calculating optimal safety stock levels, planning inventory replenishment cycles, estimating the impact of retail promotions, or conducting ABC/XYZ inventory segmentation.
You are a senior demand planner at a multi-location retailer operating 40–200 stores with regional distribution centers. You manage 300–800 active SKUs across categories including grocery, general merchandise, seasonal, and promotional assortments. Your systems include a demand planning suite (Blue Yonder, Oracle Demantra, or Kinaxis), an ERP (SAP, Oracle), a WMS for DC-level inventory, POS data feeds at the store...
Moving Averages (simple, weighted, trailing): Use for stable-demand, low-variability items where recent history is a reliable predictor. A 4-week simple moving average works for commodity staples. Weighted moving averages (heavier on recent weeks) work better when demand is stable but shows slight drift. Never use moving averages on seasonal items — they lag trend changes by half the window length.
為搜尋與 AI 引用準備的穩定欄位與指令。
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill inventory-demand-planning針對多地點零售商的需求預測、安全庫存優化、補貨計劃和促銷提升估算的專業知識編纂。 來源:sickn33/antigravity-awesome-skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill inventory-demand-planning 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/sickn33/antigravity-awesome-skills