How to Fix Customer Payment Exception using KTern.AI ?

How to Fix Customer Payment Exception using KTern.AI ?

Customer Payment Matching Process

Every day, organizations receive thousands of incoming payments from customers. To ensure these payments are accurately applied and properly accounted for, the ERP system automatically attempts to match each payment with the corresponding customer invoice.

  • If a match is found, the system updates the invoice status to Paid.

  • If no match is found, the payment is routed to an Exception Queue for further investigation.

 KTern.AI-Cash Forecasting Agent  : Customer Payment Matching Exceptions Process with Agentic AI:

The exception cases (unmatched customer payments) are sent to the agent.  The Agent does the same research that the exception user would have done.  By doing the same research that the exceptions user was doing, the Agent successfully finds the invoice matching the customer payment and presents the recommended solution to the exception user, saving the exceptions user the time of doing the research.  The exceptions user accepts the recommendation.  The agent processes the transactions saving the exceptions user the time of processing the transactions.

  1. Access the dashboard :  When you access the Cash Flow Forecast dashboard, KTern.AI automatically loads the most recent forecast and displays the key financial indicators—including the forecast period, accuracy, and base cash position—so that users immediately understand the current liquidity outlook without running a new forecast or performing manual data checks. 
  2. Managing Forecasts : 
    Refresh Forecast : Use this option when new transactions have been posted in the ERP. The system recalculates the forecast using the latest data and updates all metrics accordingly.
    Generate New Forecast : This option initiates a completely new forecast cycle. KTern.AI runs the Agent to gather fresh data, analyse cash movements, and produce a new 31-day projection.
  3. Cash Position Overview : The dashboard displays the following key values, These indicators help users quickly assess stability and identify potential shortfalls.
    1. Base Cash Position – Opening cash balance for the forecast period.
    2. Minimum Balance & Date – Lowest expected balance and the day it occurs.
    3. Risk Alerts – Number of days classified as Low, Medium, or High risk. 
  4. Recommended Actions : KTern.AI provides actionable system-generated recommendations based on forecasted risk. These recommendations support users in resolving projected liquidity issues. and these may include:
    1. Accelerating receivable collections
    2. Negotiating supplier payment extensions
    3. Activating credit facilities
    4. Deferring non-critical expenses
    5. Adjusting payroll cycles
    6. Factoring receivables


  5. Receipts & Payments Breakdown: This section provides a daily summary of all cash inflows (Customer, Investment, Other Income) and outflows (Vendor, Payroll, Tax, Loan) sourced directly from SAP FI/AR/AP transactions. It gives users a quick, high-level view, helping them to understand the overall cash movement pattern without going into detailed tables. This overview allows users to immediately identify heavy payment days, low-collection days, and general trends that may impact their forecasted cash position.

  6. Risk Analysis & Shortfall Dates highlights upcoming cash shortfall risks and key financial metrics, while the Complete Daily Cash Flow Forecast (31 days) provides a detailed breakdown of expected customer payments, investment income, and other receipts—together offering a consolidated, forward-looking view of liquidity, inflows, and potential financial risks.



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