inventory-demand-planning

Forecast demand and optimize inventory levels across multiple locations.

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/mitul-bhatia/Vibes --skill inventory-demand-planning-mitul-bhatia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inventory-demand-planning
Source: https://github.com/mitul-bhatia/Vibes/tree/main/.github/skills/inventory-demand-planning
Command: npx skills add https://github.com/mitul-bhatia/Vibes --skill inventory-demand-planning-mitul-bhatia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduce stockouts and excess inventory by providing a structured approach to demand forecasting, safety stock optimization, and replenishment planning across multiple locations.

Core Features & Use Cases

  • Forecasting method selection by SKU using ABC/XYZ classification and demand pattern analysis
  • Safety stock calculation and replenishment planning aligned with lead times and promotions
  • Promotional lift estimation, cannibalization assessment, and post-promo dip forecasting
  • Seasonal transition management and scenario analysis for buy planning
  • Vendor negotiation frameworks and cross-functional alignment across merchandising, supply chain, and finance

Quick Start

Input historical POS data and product attributes to generate forecasts and a replenishment plan.

Frequently Asked Questions about inventory-demand-planning

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

FAQPage Schema
How do I forecast demand and optimize inventory across multiple locations?

ABC/XYZ analysis classifies SKUs by value and demand variability to select the most appropriate forecasting method per item, ensuring high-value stable items receive different treatment than volatile or low-volume products.

How do I calculate safety stock and plan replenishment during promotions?

Safety stock calculation and replenishment planning align with vendor lead times and promotion lift estimation, accounting for promotional demand spikes and post-promo dips to prevent stockouts without overstocking.

Can I estimate promotional lift and assess cannibalization for seasonal transitions?

Promotional lift estimation, cannibalization assessment, and post-promo dip forecasting are supported alongside seasonal transition management, enabling scenario analysis for buy planning across merchandising and supply chain functions.

What data do I need to generate a replenishment plan and demand forecasts?

Historical POS data and item attributes with performance metrics serve as input to generate demand forecasts, compute safety stock, and output purchase recommendations aligned with lead times and seasonal patterns.