restock-demand-list

Aggregate support tickets to rank out-of-stock products by customer demand.

2|Updated Jun 4, 2026
One-click install
npx skills add https://github.com/gorgias/mcp-cookbook --skill restock-demand-list
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: restock-demand-list
Source: https://github.com/gorgias/mcp-cookbook/tree/main/recipes/restock-demand-list
Command: npx skills add https://github.com/gorgias/mcp-cookbook --skill restock-demand-list

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the issue of lost revenue and missed inventory opportunities by aggregating customer inquiries about out-of-stock products into actionable demand data.

Core Features & Use Cases

  • Demand Aggregation: Automatically identifies and groups support tickets related to product availability.
  • Prioritization: Ranks products by the number of unique requesters to provide a clear signal for purchasing and restocking decisions.
  • Export-Ready Lists: Generates customer lists for specific products to fuel high-intent back-in-stock marketing campaigns.

Quick Start

Use the restock demand list skill to analyze support tickets from the last 90 days and generate a ranked report of the top 15 products by customer demand.

Frequently Asked Questions about restock-demand-list

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

FAQPage Schema
How do I identify demand for out-of-stock products from ecommerce support tickets?

To identify demand for out-of-stock products, this skill aggregates customer support inquiries and quantifies market demand by ranking products based on the volume of unique requesters asking about inventory availability.

Can I generate back-in-stock notification lists from customer support inquiries?

Yes, you can generate back-in-stock notification lists from support inquiries. The skill analyzes ticket data to group customers requesting specific products and exports targeted lists for high-intent marketing campaigns.

How do I prioritize inventory purchasing decisions based on customer demand?

Prioritize inventory purchasing by analyzing ticket data to rank out-of-stock products by requester volume. This approach provides a clear, data-driven signal for restocking decisions based on actual customer demand.

What is the best way to analyze past support tickets for discontinued product demand?

The best way to analyze discontinued product demand is aggregating historical support tickets over a set period, like 90 days, to quantify interest and generate a ranked report of top products by customer requests.

Does this demand aggregation skill work with the Gorgias support platform?

Yes, this demand aggregation skill works directly with the Gorgias platform. It utilizes the Gorgias MCP to analyze support ticket data and facilitate data-driven inventory purchasing and back-in-stock marketing campaigns.

Why should I use support ticket analysis instead of sales data for restock decisions?

Use support ticket analysis for restock decisions because it captures explicit customer demand for out-of-stock or discontinued items that sales data misses, turning lost revenue opportunities into actionable purchasing signals.