> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Cash Application Rate, Oracle ERP Cloud > Share of received cash that has been auto-matched to invoices. Low rates mean manual reconciliation backlog. How to read it, why it matters, and how to act... **Metrics type:** [Supporting Metrics](/nerve-centre/overview#metrics-types-explained) • **Category:** [Ecommerce Platform](/nerve-centre/connectors#connectors-by-type) > Share of received cash that has been auto-matched to invoices. Low rates mean manual reconciliation backlog. ## At a glance > Share of received cash receipts that Oracle's Cash Application module has auto-matched to open invoices vs the share sitting in unapplied/on-account status awaiting manual reconciliation. The Operations efficiency gauge for the cash team. | | | | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | `applied_receipt_amount / total_receipt_amount` over the window, where applied = matched to specific Receivables transactions. Unapplied = received but not yet allocated. On-account = received but no specific invoice match found. | | **Currency** | Reporting ledger consolidated. | | **Business Unit scope** | Respects dashboard filter. | | **Time window** | `30D` | | **Alert trigger** | `<85%` | | **Sentiment key** | `cash_app_rate` | | **Roles** | owner, finance | ## Calculation Calculated automatically from your Oracle ERP Cloud data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example A US Fortune 500 distributor on Oracle ERP Cloud. 30D window 14 Mar 26 to 12 Apr 26. | Status | Receipt amount | | ---------------------------------- | ----------------- | | Applied (auto-matched to invoices) | \$186,200,000 | | Unapplied (awaiting match) | \$14,800,000 | | On-account (no invoice match) | \$9,400,000 | | **Total receipts** | **\$210,400,000** | | **Application rate** | **88.5%** | Five things to notice: 1. **88.5% above the 85% alert threshold.** Healthy auto-match rate. Most receipts come in via lockbox or ACH with remittance data that Oracle's Cash Application program matches to invoices. 2. \*\*$24.2M unapplied + on-account.** This is the manual-reconciliation backlog. Cash team is processing through it but the lag means $24M of customer payments are received but not yet credited to the customer's account, which can trigger phantom past-due aging. 3. **On-account (\$9.4M)** typically means a customer paid a round number for multiple invoices and the Cash Application could not parse the remittance. Manual cash app effort. 4. **Lockbox vs wire vs ACH** matching success differs. Lockbox bank-side OCR typically achieves 90%+ auto-match; wires often have minimal remittance and drop to 50-60% auto-match. 5. **Action playbook:** Improve customer remittance instructions (push for remittance details on every payment), upgrade to Oracle's AI-powered cash application or a third-party cash-app tool, set SLA on unapplied/on-account aging. ## Sibling cards merchants should reference together | Card | Why pair it with Cash Application Rate | | -------------------------------------------------------------------------------- | ------------------------------------------------------------ | | [Cash Collected](/nerve-centre/kpi-cards/oracle-erp/cash-collected) | Total cash; this card measures application efficiency on it. | | [Cash Applied Today](/nerve-centre/kpi-cards/oracle-erp/oerp-cash-applied-today) | Daily intraday tracking. | | [DSO](/nerve-centre/kpi-cards/oracle-erp/days-sales-outstanding) | Application backlog inflates DSO artificially. | | [A/R Aging Detail](/nerve-centre/kpi-cards/oracle-erp/a-r-aging-detail) | Unapplied receipts can mask aged invoices. | ## Reconciling against the vendor's own dashboard **Where to look in Oracle ERP Cloud:** > **Receivables → Manage Receipts** filter status > **OTBI → Receivables Receipts Real Time Subject Area** **Why our number may legitimately differ:** | Reason | Direction | Why | | --------------------------- | --------- | --------------------------------------------------------------------- | | **In-progress receipts** | Either | Receipts mid-processing may temporarily appear unapplied. | | **Multi-currency rounding** | Tiny | FX-driven micro-mismatches between receipt amount and invoice amount. | **Cross-connector reconciliation:** | Card | Notes | | --------------------------------- | ---------------------------------------------------------------------------- | | Stripe / PayPal settlement timing | If commerce payments flow through Stripe→bank→Oracle, lag affects this rate. | ## Known limitations / merchant FAQs **Healthy benchmark?** Best-in-class lockbox + ACH: 92-97% auto-match. Manual / wire-heavy: 75-85%. Below 75% indicates either remittance-instruction issues with customers or under-investment in cash-app tooling. **Oracle's AI-powered cash application, does it help?** Yes. Newer Fusion releases include ML-driven match suggestion that learns customer remittance patterns. Customers who enable it typically see 5-10pp improvement in auto-match rate within 6 months. **On-account vs unapplied difference?** Unapplied: receipt has not been touched yet (queue). On-account: receipt processed, customer identified, but no specific invoice could be matched (ambiguous remittance). **SAP equivalent?** SAP F-32 / FB05 cash application. Same concept; SAP has its own ML add-on (S/4HANA Cash Management). **Multi-currency, FX timing impact?** Rare cause of legitimate mismatch. The card sums receipt amounts in reporting currency at corporate rate. *** ### Tracked live in Vortex IQ Nerve Centre *Cash Application Rate* is one of hundreds of KPI pulses Vortex IQ tracks across Oracle ERP Cloud and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.