Guide-linked quiz · Medium Level
AI Cash Application in Accounts Receivable Quiz
Tests remittance matching, subset-sum payment combinations and late-payment prediction used in AI cash application for receivables teams.
Question 1 of 8
Why is cash application often difficult even when the bank shows exactly how much was received?
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Answers and explanations appear as you take the quiz.
- Why is cash application often difficult even when the bank shows exactly how much was received?
- Banks do not send payment files to companies
- Remittance details often arrive separately from the payment, by email, portal or EDI
- Invoices usually lack invoice numbers
- ERP systems cannot record partial payments
- A single payment with no remittance must be matched against many open invoices. What kind of search does this require?
- Sorting invoices by due date only
- Optical character recognition of the bank file
- Linear regression on invoice amounts
- A subset-sum search for open invoices that add up to the payment
- A customer deducts $1,200 for damaged goods. What does the guide describe as the better practice?
- Leave the entire payment unapplied
- Write off the $1,200 immediately
- Apply the amount received and open a deduction case with a reason code
- Return the payment to the customer
- Why can a high auto-match rate be misleading?
- Wrong matches post silently and hide errors in customer balances
- Automatic matching is not allowed by auditors
- It increases days sales outstanding
- Banks charge a fee for each match
- Why does the guide suggest survival analysis for late-payment prediction?
- It requires no historical data
- It accounts for invoices still open, whose final payment date is unknown
- It guarantees accurate predictions
- It only works for check payments
- Which formats does the guide name for bank statement data used in cash application?
- BAI2 and ISO 20022 camt.053
- EDI 850 purchase orders
- XBRL financial filings
- PDF/A archive files
- A wire arrives under a parent company's name. How does an AI system identify the right customer account?
- It rejects the payment until remittance arrives
- It applies it to the customer with the largest balance
- It uses learned history linking payer names and bank accounts to customer accounts
- It posts the amount directly to revenue
- How does the guide say late-payment predictions should be used?
- To cut off customer credit automatically
- To prioritize collections outreach and inform cash forecasts, with people making credit decisions
- To change invoice prices after issue
- To replace remittance advice
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