Practice Test Geeks(CCP) Certified Credit Professional Practice Test
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CRM & AR Automation Flashcards

7 cards from real CCP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 CRM & AR Automation flashcards as text

  1. In AR automation, what does 'straight-through processing' (STP) mean?

    Answer: Automated end-to-end transaction completion without human intervention

    STP means transactions flow from initiation to completion automatically without manual touchpoints, maximizing efficiency in AR.

  2. A CRM system flags a customer as 'at-risk' based on payment behavior. Which metric most likely triggered this flag?

    Answer: Increasing Days Sales Outstanding (DSO) trend over 90 days

    A consistently rising DSO indicates a customer is taking longer to pay, signaling potential credit risk in CRM analytics.

  3. Which AR automation feature reduces unapplied cash by matching remittances to open invoices automatically?

    Answer: Cash application automation

    Automated cash application uses algorithms and remittance data to match incoming payments to specific open invoices, reducing unapplied cash.

  4. What is the primary benefit of integrating CRM with an ERP's AR module?

    Answer: Providing sales teams real-time visibility into customer credit holds and balances

    CRM-ERP integration gives sales reps live credit and balance data, preventing orders for customers on hold and improving collections coordination.

  5. In automated dunning workflows, what determines which dunning letter a customer receives?

    Answer: The number of days an invoice is past due and the customer's risk segment

    Dunning workflows use aging buckets and customer risk tiers to escalate communication appropriately, from gentle reminders to formal demand letters.

  6. Which term describes a short payment by a customer that requires research and resolution within AR?

    Answer: Deduction or short pay

    A deduction or short pay occurs when a customer pays less than the invoiced amount, requiring AR to investigate whether it is valid (e.g., damaged goods) or invalid.

  7. How does predictive analytics in CRM improve credit risk management?

    Answer: By scoring customers based on behavioral patterns to forecast payment likelihood

    Predictive analytics models use historical payment data, order patterns, and external signals to assign risk scores and forecast which customers may default.