Cash Flow Anomaly Report

Fictional Dataset

Fictional services company with invoices, vendor bills, payroll, collections, and monthly cash movements.

Filecash_flow_anomaly_demo.csv

Rows980

SourceCSV + Accounting Export

transaction_date account cash_in cash_out invoice_age vendor_category

Week	Cash in	Cash out	AR age	Category
W1	$38,900	$31,200	24d	Payroll
W2	$42,100	$35,600	28d	Software
W3	$29,400	$44,800	41d	Contractors
W4	$33,700	$39,100	39d	Rent

Week 3 shows a cash anomaly caused by lower collections and higher contractor spend.
Receivables aging increased, suggesting delayed customer payments rather than a one-off timing issue.
Runway is still manageable, but the next two collection cycles should be monitored closely.

Confirmed insight

Confidence 87%

Assign owner to the top 10 overdue invoices and review payment promises this week.

Confirmed insight

Confidence 81%

Pause nonessential contractor approvals until cash inflow normalizes.

Possible signal

Confidence 69%

Audit recurring software vendors for duplicate seats and annual renewals.

1. Load dataCSV, Excel, database, Google Sheets, or connector.

2. Generate analysisCharts, report, data quality, and AI interpretation.

3. Review PulseExecutive signal for risks, trends, and opportunities.

4. Act on insightsAssign owners, comments, review status, and next actions.