Can it calculate safety stock for items with lead time variability?

Yes, it includes advanced formulas that account for both demand variability and vendor lead time uncertainty to ensure service levels are met despite port congestion or supplier delays.

How does it handle new product launches with no history?

It uses analog SKU mapping and lifecycle profiling to generate initial forecasts and recommends conservative safety stock buffers for the first 8 weeks of sales.

How does the skill manage promotional events?

It provides frameworks for estimating promotional lift based on historical elasticity, accounting for cannibalization of other items, and planning for the post-promotion demand dip.

What forecasting methods does this skill support?

It supports a wide range of methods including Moving Averages, Exponential Smoothing (Holt-Winters), STL decomposition, causal regression models, and gradient boosting machine learning models.

Inventory Demand Planning

Name: Inventory Demand Planning
Author: Infopibe

byInfopibe

•

电子商务解决方案

Optimizes retail inventory through advanced demand forecasting, safety stock calculation, and replenishment planning.

This skill transforms Claude into a senior demand planner specialized in multi-location retail operations. It provides codified expertise for managing hundreds of SKUs by implementing sophisticated forecasting methods like Holt-Winters and machine learning models, calculating dynamic safety stocks based on lead time variability, and planning complex promotional lifts. It is designed for supply chain professionals and developers building retail systems who need to translate commercial intent into executable inventory strategies while balancing stockout risks against holding costs and GMROI targets.

主要功能

01ABC/XYZ inventory classification for prioritized stock management

02Replenishment optimization using ROP, EOQ, and periodic review logic

03Dynamic safety stock calculation accounting for demand and lead time variability

04Multi-method demand forecasting including Exponential Smoothing, STL, and ML models

051 GitHub stars

06Promotional lift estimation and post-promo dip analysis

使用场景

01Generating demand forecasts for seasonal product transitions or new SKU launches

02Optimizing purchase orders under supplier MOQ and changing lead time constraints

03Evaluating forecast accuracy using WMAPE and bias metrics to reduce overstock and stockouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code inventory-demand-planning

For use in Claude.ai and ChatGPT

主要功能

01ABC/XYZ inventory classification for prioritized stock management

02Replenishment optimization using ROP, EOQ, and periodic review logic

03Dynamic safety stock calculation accounting for demand and lead time variability

04Multi-method demand forecasting including Exponential Smoothing, STL, and ML models

051 GitHub stars

06Promotional lift estimation and post-promo dip analysis

使用场景

01Generating demand forecasts for seasonal product transitions or new SKU launches

02Optimizing purchase orders under supplier MOQ and changing lead time constraints

03Evaluating forecast accuracy using WMAPE and bias metrics to reduce overstock and stockouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code inventory-demand-planning

For use in Claude.ai and ChatGPT