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Q:

What alerts help detect Paytm declines when customers hit the new category caps?

  • Rakesh Kori
  • Sep 20, 2025

1 Answers

A:

When Paytm (or any payment gateway/wallet) introduces new category caps (spending limits by MCC or category), the best way to detect declines is to look for specific failure codes, event spikes, and anomaly trends in your transaction data.
Here’s a breakdown of the alerts you should configure to catch these early:

  • Decline Code / Response Code Alerts
  • MCC / Category-wise Decline Rate Spikes
  • Success Rate Drop Alerts (Per Payment Method)
  • Customer Complaint Volume / Support Ticket Alerts
  • End-to-End Funnel Drop Alerts
  • Revenue Impact Alerts
  • Shubham Bansal
  • Sep 22, 2025

0 0

Related Question and Answers

A:

Before enabling new Microsoft Teams features on mobile and desktop, it is critical to review and update Conditional Access (CA) policies to secure corporate data and prevent unauthorized access. Since Teams relies on other M365 services like SharePoint and Exchange, your CA policies must be consistent across these applications to avoid security gaps.

  • Gopal Rathi
  • Sep 20, 2025

A:

To model category-wise UPI headroom in finance dashboards for Pine Labs transactions, you need to combine data from Pine Labs' APIs with NPCI's updated transaction limit information. This allows you to track transactions against their specific category caps and calculate the remaining headroom in real time.

  • Abinash Das
  • Sep 19, 2025

A:

QA scenarios for Pine Labs UPI flows

  • I. Auto-Split Transactions

Test Case 1: Transaction Amount within Standard Limit, Split Not Required.
Test Case 2: Transaction Amount Exceeding Standard Limit, Split Not Required (Category Based).
Test Case 3: Transaction Amount Exceeding Category Limit, Split Required (Manual Split).
Test Case 4: Auto-Split Logic for High-Value Categories (if applicable).
Test Case 5: Exceeding Daily Aggregate Limit with Auto-Split.

  • II. Reversals

Test Case 6: Reversal of a Standard Transaction within Limit.
Test Case 7: Reversal of a High-Value Transaction within Category Limit.
Test Case 8: Reversal After Reaching Daily Aggregate Limit.
Test Case 9: Failed Reversal Scenario (e.g., technical error).

  • III. Refunds

Test Case 10: Full Refund of a Standard Transaction.
Test Case 11: Partial Refund of a Standard Transaction.
Test Case 12: Full Refund of a High-Value Transaction within Category Limit.
Test Case 13: Refund After Reaching Daily Aggregate Limit.
Test Case 14: Refund for a Transaction that Originally Exceeded Limits (if possible/auto-split).
Test Case 15: Failed Refund Scenario.

  • momin choudhary
  • Sep 21, 2025

A:

"Here is a step-by-step guide to modeling category-wise UPI headroom for a Paytm finance dashboard.

  • Data acquisition and categorization
  • Calculate headroom for each category
  • Design dashboard views for different users "
  • AG RAGHAVENDRA
  • Sep 21, 2025

A:

Here are QA scenarios to validate Paytm's compliance with these revised limits:

  • Auto-Split Functionality

Transaction exceeding P2P limits
Transaction exceeding category-specific limits
Transaction split behavior
Successful auto-split

  • Reversals

Failed transaction within P2P limits
Failed transaction within category-specific limits (P2M
Compensation for delayed reversals
Communication for failed transactions

  • Refunds

Failed UPI transaction with debit but no credit
User-initiated refund for incorrect transaction
Refunds for amounts exceeding standard limits (P2M)
Grievance redressal for refunds

  • Njanjo Jessica
  • Sep 18, 2025

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