During the training of the “Machine Learning” model, a considerable number of receipts were uploaded. Based on their content, the receipts were grouped into 26 categories (e.g., Parking, Meals, etc.). These categories are referred to as the AI classifiers.
This section is used to link the Expense Codes of various Expense Rules to the appropriate AI classifier where a match is identified. Receipts uploaded through the Quick Expense Reporter with AI will be categorized based on these AI classifiers. When an expense line is created for these receipts, the Expense Code will be automatically retrieved from the corresponding 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. Receipt scanning and prediction capabilities are available only to companies associated with the configuration.
Prediction must be enabled
Expense Rules and Expense Codes should be created.
The Expense Codes for expense lines in the Quick Expense Reporter will be determined based on the mappings configured in this section.