In Progress — This project is currently under development. Findings and screenshots will expand as the analysis matures.

Accounts Receivable Aging Analysis

An Excel-based receivables aging analysis for tracking overdue balances, collection performance, and client-wise credit risk. The project highlights high-overdue customers and supports better cash collection decisions.

Advanced Excel AR Aging Collections DSO Analysis Credit Risk Working Capital   In Progress
0-30
Current
31-60
Delay
61-90
Overdue
90+
Critical
Category Receivables / Credit Control
Primary tool Microsoft Excel
Data source Debtors ledger & invoice records
Focus Overdue balances & DSO trends
Status In Progress
Discuss this project

Project overview

This project involves receivables analysis to identify overdue balances and collection risk. The analysis groups customers by overdue buckets and highlights delayed payments to improve cash collection processes.

The goal is to improve cash collection and reduce overdue debt by providing clear visibility into aging patterns and collection risk concentration.

Organizations facing collection challenges need:

  • Clear visibility of overdue receivables by customer
  • Aging analysis to track collection performance
  • Identification of high-risk customers with old balances
  • DSO tracking and trends
  • Working capital pressure point identification

Receivables buckets

Current

Within credit terms, normal collection.

Early Delay

First signs of collection delay.

Overdue

Requires active collection follow-up.

Critical

High risk, immediate action needed.

Analysis performed

  • Grouped receivables by due bucket (0-30, 31-60, 61-90, 90+ days) to visualize aging patterns.
  • Tracked overdue balances, collection timelines, and follow-up status.
  • Reviewed customer-level overdue concentration and balance aging.
  • Measured Days Sales Outstanding (DSO) to monitor collection performance over time.
  • Compared payment timing against invoice due dates to identify recurring delays.
  • Assessed follow-up gaps across overdue customer accounts.
  • Identified high overdue customers and concentration risk in specific accounts.
  • Compared outstanding balances against approved credit limits.
  • Highlighted working capital pressure created by old balances.

In-progress key findings

High Overdue Customers Identified

High overdue customers and risk concentration have been identified, requiring immediate collection follow-up.

Working Capital Impact

Old balances are creating working capital pressure and need urgent collection attention.

Recommendations

01
Follow up on old balances
  • Aggressively follow up on 61-90 day and 90+ day balances.
  • Accelerate cash collection from delayed accounts.
02
Set credit limits
  • Review credit limits for customers with recurring overdue patterns.
  • Reduce exposure to risky accounts where needed.
03
Regular aging reviews
  • Implement monthly aging review meetings.
  • Track collection performance consistently.
04
Strengthen procedures
  • Use standardized follow-up timelines.
  • Improve escalation for persistent overdue balances.

Tools used

Microsoft Excel
Aging Tables
DSO Charts
Customer Filters
Credit Control Tracking

Project files

Files will be available when the project is completed.
AR Aging Analysis Excel file, customer aging summaries, and collection tracking templates.

Dashboard screenshots

Screenshots will be added when the project is completed.

Aging Summary Dashboard
Bucket breakdown and overdue mix
Top Overdue Customers
Ranked by outstanding balances
DSO Trend Chart
Collection trend over time
Customer-wise Aging Detail
Invoice-level receivables aging
Collection Performance Dashboard
Follow-up status and risk view
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