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Late Payment Prediction

Effectively handling receivables is crucial for a business’s financial well-being. The Late Payment Prediction extension assists in reducing outstanding receivables by predicting whether sales invoices will be paid on time.

The extension uses a machine learning classification model, providing out-of-the-box benefits of artificial intelligence without requiring expertise in data science. However, you can easily replace our model with your own in just a few steps if you prefer.

The extension allows you to train your model as you gather data, improving predictions about your customers’ payment habits. The more you use Business Central and the more data that you feed into the model, the more accurate predictions become.

How and when you generate predictions is up to you:

  • You can review all sales invoices in the Customer Ledger Entries window, where you can also explore each posted invoice in detail. The Late Payment field shows the outcome of the prediction.
  • You can predict late payments in advance. Within the Sales Quotes, Sales Orders, and Sales Invoices windows, you can use the Predict Payment action to generate a prediction for the sales document you’re viewing.

You can turn these insights into proactive action. For example, if a payment is predicted to be late, you might decide to adjust the terms of payment or the payment method for the customer.

 

Supported editions: This app supports both the Essential and Premium editions of Microsoft Dynamics 365 Business Central.

Supported countries: All countries where Microsoft Dynamics 365 Business Central is available.

Supported languages: Czech (Czech Republic), Danish (Denmark), German (Austria), German (Switzerland), German (Germany), English (Australia), English (Canada), English (United Kingdom), English (New Zealand), English (United States), Spanish (Spain), Spanish (Mexico), Finnish (Finland), French (Belgium), French (Canada), French (Switzerland), French (France), Icelandic (Iceland), Italian (Switzerland), Italian (Italy), Norwegian (Bokmal – Norway), Dutch (Belgium), Dutch (Netherlands), Russian (Russia), Swedish (Sweden)