Upload your AR aging CSV from QuickBooks, Xero, or ServiceTitan. Get a collectable forecast, bucket breakdown, and the 5 invoices to chase first — ranked by the same algorithm that powers RollForge's production AR engine.
Ranked by priority: (days_aged^1.2) × log(amount)
| # | Customer | Amount | Overdue |
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This is one snapshot. RollForge tracks your AR aging daily and alerts you before invoices go stale.
Start your feedback loop — 7 days freeBased on standard collection probability curve (90%/70%/45%/25% by bucket). This is an estimate, not a guarantee. Actual recovery depends on customer creditworthiness, relationship, and collection effort.
Priority score: (days_aged^1.2) × log(amount) — same algorithm as RollForge's production AR engine
| # | Customer | Amount | Overdue | Priority | Bucket |
|---|
Connect your QuickBooks, Xero, or upload your CSV. RollForge scores every invoice, drafts dunning emails by bucket, and tracks recovery — automatically. Start your free trial and see your real numbers in the engine in under 5 minutes.
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Every day an invoice ages past 30 days, its probability of collection drops. This isn't pessimism — it's actuarial reality. The Commercial Collection Agency Association and trade credit management literature consistently show the same curve: invoices collected within 30 days recover at 90%+; at 90+ days, recovery drops to 25% or less.
Sources: Commercial Collection Agency Association (CCAA) guidelines; trade credit management industry benchmarks. These are standard estimates, not guarantees for any specific business.
The priority algorithm — (days_aged^1.2) × log(amount) — weights overdue time more than invoice size, because collection probability decays faster than you lose on smaller amounts. A $2,000 invoice at 90 days is often a worse position than a $10,000 invoice at 30 days. The exponent (1.2) captures this non-linear decay. This is the same formula RollForge uses in production to rank dunning sequences.