inventory-demand-planning

Generate demand forecasts and safety stock recommendations for multi-location retail operations.

Updated May 9, 2026
One-click install
npx skills add https://github.com/RambleRainbow/jd --skill inventory-demand-planning-ramblerainbow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inventory-demand-planning
Source: https://github.com/RambleRainbow/jd/tree/main/.claude/skills/inventory-demand-planning
Command: npx skills add https://github.com/RambleRainbow/jd --skill inventory-demand-planning-ramblerainbow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Multi-location retailers struggle with inaccurate demand forecasts that lead to costly stockouts, excess inventory, and missed margin targets from poor promotional and seasonal planning. This Skill codifies 15+ years of expert demand planning expertise to eliminate guesswork in inventory management for operations handling 300–800 SKUs across 40–200 stores and regional distribution centers.

Core Features & Use Cases

  • Demand Forecasting: Select and apply the right forecasting method (moving averages, exponential smoothing, causal models, ML) based on SKU demand patterns and ABC/XYZ classification.
  • Safety Stock Optimization: Calculate service level-aligned safety stock that accounts for demand variability, lead time variability, and intermittent demand for new or lumpy SKUs.
  • Replenishment Planning: Generate MOQ-compliant purchase order recommendations using min/max, ROP/EOQ, or periodic review logic aligned to vendor tier schedules.
  • Promotional & Seasonal Planning: Estimate promotional lift, model cannibalization and post-promo demand dips, and manage seasonal buy timing and markdown cadences.
  • Use Case: A grocery retailer with 120 stores can use this Skill to forecast demand for a 3-week BOGO promotion on a top-selling SKU, calculate forward buy quantities, coordinate with vendors, and plan post-promo inventory to avoid excess stock.

Quick Start

Use the inventory-demand-planning skill to generate a 12-week demand forecast for your top 20 SKUs and calculate recommended safety stock levels for a 95% service level target.

Frequently Asked Questions about inventory-demand-planning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate safety stock for multi-location retail operations with varying demand variability?

Safety stock calculation requires calibrating to your target service level while accounting for both demand and lead time variability. This Skill handles intermittent demand and lumpy SKUs to output precise safety stock thresholds for regional distribution centers.

What is the best way to forecast promotional lift and prevent post-promo excess inventory?

Promotional lift forecasting models the demand spike during events like BOGO promotions while accounting for cannibalization and post-promo dips. This allows you to calculate forward buy quantities and plan markdown cadences to avoid excess stock.

How do I generate MOQ-compliant replenishment orders for 300-800 SKUs?

Replenishment planning generates purchase order recommendations using min/max, ROP/EOQ, or periodic review logic. The output aligns to vendor tier schedules and rounds quantities to meet MOQ requirements for your retail supply chain.

How does ABC/XYZ analysis help with demand forecasting method selection?

ABC/XYZ SKU segmentation classifies inventory by value and demand variability to align forecasting methods. This ensures high-volume stable SKUs use moving averages while lumpy items leverage exponential smoothing or ML models.

Can I use this demand planning approach for seasonal transitions and markdown cadences?

Seasonal transition management models demand shifts to optimize buy timing and markdown cadences. This demand planning approach suits retail operations managing 40-200 stores by structuring inventory depletion during seasonal phases.

What are the limitations of demand forecasting for intermittent demand SKUs?

Intermittent demand SKUs often produce lumpy forecasts that trigger stockout risks without proper safety stock buffers. Monitoring forecast accuracy with defined escalation triggers is critical to prevent excess inventory or missed service levels.