什么是 inventory-demand-planning?
针对多地点零售商的需求预测、安全库存优化、补货计划和促销提升估算的专业知识编纂。 来源:sickn33/antigravity-awesome-skills。
针对多地点零售商的需求预测、安全库存优化、补货计划和促销提升估算的专业知识编纂。
通过命令行快速安装 inventory-demand-planning AI 技能到你的开发环境
来源: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.
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill inventory-demand-planning针对多地点零售商的需求预测、安全库存优化、补货计划和促销提升估算的专业知识编纂。 来源:sickn33/antigravity-awesome-skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill inventory-demand-planning 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/sickn33/antigravity-awesome-skills