What customer insights can I get from this skill?

It tracks Lifetime Value (LTV), repeat purchase rates, and segments customers into actionable groups like 'New', 'Active', 'At Risk', or 'VIP'.

Can it help predict future sales trends?

Yes, it includes logic for both demand and revenue forecasting, providing point estimates and confidence intervals based on historical data patterns.

What is the Commerce Analytics skill for Claude Code?

It is a specialized capability that provides Claude with the domain knowledge to analyze e-commerce data, calculate business metrics, and generate performance reports.

How does this skill assist with inventory management?

The skill provides frameworks for inventory health checks, identifying low-stock items, and calculating 'days of stock' based on average daily sales.

Commerce Analytics

Name: Commerce Analytics
Author: stateset

bystateset

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E-commerce Solutions

Analyzes e-commerce sales performance, customer metrics, inventory health, and demand forecasts to drive data-driven business decisions.

The Commerce Analytics skill equips Claude with specialized domain knowledge for high-level business intelligence within the e-commerce sector. It enables the analysis of complex transactional data through standardized metrics such as Average Order Value (AOV), Customer Lifetime Value (LTV), and conversion rates. Whether you need to conduct a weekly business review, perform deep-dive customer segmentation, or generate predictive demand forecasts, this skill provides the logical frameworks and data structures required to turn raw commerce data into actionable strategic insights.

Key Features

01Comprehensive sales tracking including revenue, order volume, and AOV analysis.

02Operational auditing via return rate benchmarks and order status breakdowns.

03Inventory health monitoring with automated reorder point and stock-out calculations.

04Predictive demand and revenue forecasting with confidence interval modeling.

051 GitHub stars

06Advanced customer segmentation identifying VIP, At Risk, and Lapsed shoppers.

Use Cases

01Optimizing supply chains by forecasting demand and identifying critical low-stock items.

02Improving customer retention by analyzing LTV and identifying high-value segments for marketing.

03Automating Weekly Business Reviews to monitor sales trends and operational health.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add stateset/stateset-icommerce commerce-analytics

For use in Claude.ai and ChatGPT

Download Skill