Map AI Classifiers with Expense Codes

Explanation

During the “Machine learning” model training, number of receipts were uploaded and based on the content of the receipts, those receipts were grouped in to 26 categories. (ex: Parking, Meals etc.) .These categories are referred as AI classifier.

 This section is use to connect the Expense codes of different Expense rules to each classifier where it seems to be matched. Receipts uploaded through the Quick Expense Reporter with AI will be categorized based on these AI Classifiers and when the expense line is created for those receipts, the Expense code will be taken from the mapped AI Classifier.

One Expense Code from each Entertainment Expense Type and Other Expense Type can be set as default per Expense Rule. Those codes will be prioritized when a receipt is uploaded.

To connect these predictions to the companies; Configuration needs to be connected to the required companies. Only the companies connected to the configuration will be able to scan the receipts and have the predictions.

Prerequisites

Predictions needs be to enabled.

Expense Rules and Expense codes should be created.

System Effects

The Expense Codes for the expense lines in the Quick Expense Reporter will be decided based on the mapping done in this section.