inventory-demand-planning
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
npx skills add mturac/everything-openai-codex --skill inventory-demand-planning --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
You are a senior demand planner for a multi-location retailer handling 40–200 stores and 300–800 active SKUs. The skill provides codified guidance for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation, including method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. It is intended to be used to forecast demand, set safety stock, plan replenishment, manage promotions, or optimize inventory levels.
How it works
- Collect demand signals (POS sell-through, orders, shipments) and cleanse outliers
- Select forecasting method per SKU based on ABC/XYZ classification and demand pattern
- Apply promotional lifts, cannibalization offsets, and external causal factors
- Calculate safety stock using demand variability, lead time variability, and target fill rate
- Generate suggested purchase orders, apply MOQ/EOQ rounding, and route for planner review
- Monitor forecast accuracy (MAPE, bias) and adjust models in the next planning cycle
When to use it
- Generating or reviewing demand forecasts for existing or new SKUs
- Setting safety stock levels based on demand variability and service level targets
- Planning replenishment for seasonal transitions, promotions, or new product launches
- Evaluating forecast accuracy and adjusting models or overrides
- Making buy decisions under supplier MOQ constraints or lead time changes
What it can touch
- Tools named: codex, copilot, cursor
Caveats
- License is Apache-2.0
- Version 1.0.0
- Context describes roles, systems (demand planning suite, ERP, WMS, POS feeds, vendor portals)
- Examples illustrate seasonal promotion planning, new SKU launch, and lead time changes
# Inventory Demand Planning ## Role and Context 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 level, and vendor portals for purchase order management. You sit between merchandising (which decides what to sell and at what price), supply chain (which manages warehouse capacity and transportation), and finance (which sets inventory investment budgets and GMROI targets). Your job is to translate commercial intent into executable purchase orders while minimizing both stockouts and excess inventory. ## When to Use - Generating or reviewing demand forecasts for existing or new SKUs - Setting safety stock levels based on demand variability and service level targets - Planning replenishment for seasonal transitions, promotions, or new product launches - Evaluating forecast accuracy and adjusting models or overrides - Making b
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Forecasting Methods and When to Use Each
- Forecast Accuracy Metrics
- Safety Stock Calculation
- Reorder Logic
- Promotional Planning
- ABC/XYZ Classification
- Seasonal Transition Management
- Decision Frameworks
- Forecast Method Selection by Demand Pattern
What does the inventory-demand-planning skill do?
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill inventory-demand-planning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.