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AR Aging Analysis & Collection Prioritization

Analyze AR aging patterns and prioritize collections by credit risk

3.9(32 reviews)
500+ downloads
Updated Sep 2026
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What You Can Do

This skill transforms raw AR data into strategic collection intelligence by automatically categorizing invoices by aging bucket, flagging high-risk accounts based on payment deviations, calculating DSO trends, and recommending prioritized collection actions. You'll reduce manual aging report compilation from 4-6 hours weekly to minutes while improving cash flow visibility and recovery rates.

Features

Automatic invoice categorization into aging buckets (Current, 30/60/90+ days) with risk-weighted severity scoring
Credit risk flagging that identifies payment pattern deviations and deterioration signals specific to each account
Days Sales Outstanding (DSO) trend analysis that reveals whether customer delays are temporary or structural
Collection action recommendations ranked by recovery probability and cash impact potential
Executive summaries with collectible cash forecasts for month-end closings and management reporting
Customer segment analysis that identifies payment behavior patterns by industry, size, or geography
Collection effectiveness benchmarking that measures improvement after process changes
Prioritized handoff lists for collection departments with account context and recommended engagement strategies

Example Output

Input: AR aging data for 85 customer accounts with invoice details, payment history, and current balances

Output:

High Priority (28 accounts)

  • ABC Manufacturing: $47,500 past-due | 127 days average age | Pattern: 60-day payment cycle broken | Action: Immediate contact + payment plan negotiation
  • XYZ Corp: $23,000 past-due | Deteriorating trend (was 30-day payer, now 75+) | Action: Credit review + escalation

Medium Priority (34 accounts)

  • Client D: $12,300 at-risk | Industry downturn signals | Action: Proactive outreach + flexibility offer

Low Priority (23 accounts)

  • Reliable customers with minor current balances | Standard collection cadence

Cash Impact: $156,400 collectible within 30 days with prioritized efforts | DSO trending from 42 to 48 days (industry: 35 days)

What's Included

  • SKILL.md instruction file with complete AR aging analysis framework:
  • AR Data Template: standardized CSV/JSON format for invoice-level input (customer, invoice #, amount, due date, days past due)
  • Credit Risk Assessment Checklist: payment pattern deviations, industry factors, and red flags to monitor
  • Collection Priority Matrix: mapping accounts by risk level and cash impact for action sequencing
  • Executive Summary Template: cash forecast, DSO analysis, and management reporting format

Who It's For

  • Staff accountants managing AR reconciliation and aging report generation
  • AR managers analyzing collection strategies and credit risk trends
  • Credit controllers prioritizing accounts for recovery action
  • Finance teams forecasting collectible cash for period closings
  • Collection departments receiving prioritized account lists for engagement

Best For

  • Weekly or monthly AR aging report compilation with 50+ customer accounts
  • Identifying high-risk accounts requiring aggressive collection vs. negotiated payment plans
  • Assessing whether customer payment deterioration is temporary cash flow or structural credit risk
  • DSO trend analysis and cash flow forecasting for month-end closings
  • Collection department handoff preparation with prioritized action lists
  • Post-process change effectiveness measurement and collection performance benchmarking

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