What data formats are supported by this skill?

The skill is optimized for FreightClub and ShipStation CSV/Excel exports but can be used for any PLD (Package Level Detail) analysis containing weights, carriers, and destination ZIP codes.

How does the skill estimate potential savings?

It uses current average costs versus recommended Xparcel service levels to provide conservative (10%), moderate (15%), and aggressive (20%+) annual savings projections.

Can it detect errors in my shipping data?

Yes, it includes a Data Quality Audit that flags missing values, identifies weight discrepancies (e.g., item weight vs. total weight), and detects cost outliers.

What is the 'Select' vs 'National' network analysis?

It evaluates your destination ZIP codes to determine what percentage of your volume qualifies for zone-skip savings through metro-specific hubs (Select) versus standard nationwide coverage (National).

FreightClub Shipping Data Analyst

Name: FreightClub Shipping Data Analyst
Author: WalkerVVV

byWalkerVVV

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数据科学与机器学习

Analyzes shipping export data to identify cost-saving opportunities and FirstMile logistics network compatibility.

关于

The FreightClub Analysis skill enables Claude to perform sophisticated assessments of shipping exports from platforms like ShipStation and FreightClub. Built with Revenue Architect rubrics, it transforms raw CSV/Excel data into a comprehensive 9-sheet executive report, identifying volume fits for FirstMile, calculating potential annual savings across multiple scenarios, and mapping current shipments to optimized Xparcel services. This skill is specifically designed for sales engineers and logistics professionals who need to move beyond raw tables to actionable 'so-what' insights and concrete pilot plans.

主要功能

Executive dashboard generation featuring traffic light summaries and actionable next steps.
Network fit analysis to identify zone-skip opportunities via Select and National hubs.
Multi-scenario savings projections (Conservative/Moderate/Aggressive) with visible methodology.
Automated data quality auditing with confidence level flags for weights, costs, and zones.
1 GitHub stars
Advanced column mapping for carrier inference, weight validation, and service level categorization.

使用场景

Evaluating FirstMile/Xparcel opportunity fit for high-volume e-commerce prospects.
Developing data-driven shipping pilot plans with specific transit and cost success criteria.
Converting raw ShipStation or FreightClub exports into executive-ready logistics audits.

关于

主要功能

Executive dashboard generation featuring traffic light summaries and actionable next steps.
Network fit analysis to identify zone-skip opportunities via Select and National hubs.
Multi-scenario savings projections (Conservative/Moderate/Aggressive) with visible methodology.
Automated data quality auditing with confidence level flags for weights, costs, and zones.
1 GitHub stars
Advanced column mapping for carrier inference, weight validation, and service level categorization.

使用场景

Evaluating FirstMile/Xparcel opportunity fit for high-volume e-commerce prospects.
Developing data-driven shipping pilot plans with specific transit and cost success criteria.
Converting raw ShipStation or FreightClub exports into executive-ready logistics audits.