Below you will find more information about the JSON field category and line_item.category, how those are being extracted, what problems solve, and what customization is available.

Categories are used to classify and track different types of expenses to understand spending patterns and analyze financial data.

Veryfi data extraction caters to multiple use cases, each with its unique demands and priorities. Different use cases may prioritize different aspects of data extraction. For instance, while one use case might require the extraction of the manufacturer or lot numbers, another might place greater importance on determining the type of expense and the category to which it belongs.

Our experience has shown that categories are particularly relevant in the CPG loyalty vertical and expense management domains. Categories are crucial in these industries, facilitating efficient expense tracking, personalized marketing, and strategic decision-making.

Let's take a closer look at the demand:

Veryfi OCR API utilizes smart categorization at both the document and line item levels.

Smart categorization streamlines the data extraction process, ensures accurate categorization of expenses, and offers flexibility for users to customize categories according to their specific needs.

There are two types of categories at Veryfi:

All Veryfi user accounts are being created with a standard list of Expense Categories (COA) that users can customize.

Smart categorization is a part of the data enrichment process. At the document level, the system examines the categories associated with the user's account first. If no matches are found within the standard list, the model will apply the category it deems most suitable based on previous selections and patterns across all customers at Veryfi taking into account vendor domain and type. This ensures that the system can still provide relevant categorization even without explicit category assignments.

Currently, we are actively working on enhancing line item categorization to match the advanced categorization capabilities available at the document level. Our aim is to ensure that once the document is processed and the document level category is assigned, the line items are categorized based on the product or service information and previous categorizations made manually in the Web portal or via PUT API to update line item categories.

In addition, users have the flexibility to send a personalized list of their own categories. When users provide their custom categories, the model attempts to match expenses with the specified categories, supporting multiple languages. However, it is important to note that the model relies on common sense assumptions when matching expenses. For instance, if an expense is from Burger King, it is expected that Veryfi will categorize it as "food" or related custom categories, but it is not expected to categorize it as "dinner with a colleague" or similar specific descriptions. The emphasis is on aligning the expense with broader, more general categories to ensure accurate and practical categorization within the Veryfi smart categorization system.

If you want to use your own categories, you can provide the list of categories along with a request; just use a request parameter categories. Please check out API Schema provided by Veryfi to determine the correct parameter type and format.

If you want even more control, take a look at the field called default_category - is a category predicted by the Veryfi model from the Veryfi list of best known categories.

We understand the importance of the data classification Veryfi does, so we recommend you look at two other fields that Veryfi returns. If you are in the CPG loyalty or Expense management field, these might be important for you as they unlock customer insights and purchase behavior. Meet line_item.type and vendor_type together with a line item and document level category and vendor_type Veryfi gives you a great tool to validate purchases and unlock cross-basket insights to fuel your loyalty marketing programs or empower expense management solutions by flagging items not covered by the company travel reimbursement policy faster. E.g., a Hotel Folio with a line item type "alcohol" can be flagged instantly.

If you desire more control over the categorization process and define precise guidelines, you can create automation using rules. These rules can be designed to assign specific categories at both the document and line item levels based on predetermined criteria or conditions. Setting up these rules allows you to ensure that items are categorized according to your specific guidelines, allowing for a more tailored and consistent categorization process.

In the current implementation, only document-level fields are participating in the model training. It's important to note that all changes made via PUT API call are used in the model training process. This allows the system to learn from the updated category assignment, continuously improving its accuracy and performance over time.

If your use case is dependent on the line item level category and you want to participate in the model training to improve the assignment, please reach out to us at support@veryfi.com

Let's look at all the fields mentioned in this Article and their description one more time:

If your JSON is missing any of the mentioned above, please contact support@veryfi.com.