Expense

Have a question on Expense? Start by looking through frequently asked questions here.

What are the use cases for Expense?
Expense data can be used for Wealth Management, Personal Finance, Loyalty and Rewards. Learn more about Expense use cases.

What are the data points used to retrieve expense categorization?
Our expense categorizations are derived from keywords in the transaction description.

How many categories are available in Expense?
Expense analyzes each debit transaction and spends categories based on 30+ types of retail customers such as Fashion, E-commerce, f&b, Education, Entertainment, Groceries, Health, Investment, and more.

How do Brankas determine the data?
We study data with Artificial Intelligence and Machine Learning to determine the type of expense based on a working data model. We trained the model based on thousands of transactions and growing, a reliable scoring method compared to database matching.

How many months of historical data can we retrieve?
Historical data from 6 up to 12 months of transaction data, varies per bank.

What does the user journey look like for expense retrieval?
View the user flow here.

Do I have to use Statement to get Expense data?
Yes, Expense is a part of Statement. Integrate with Statement APIs to retrieve Expense data in the response.

Where can we see the Expense estimation?
After the user finishes the retrieval flow, you can view the expense in the debit transaction data.

What are the use cases for income?
You can use expense data for Wealth Management, Personal Finance, Loyalty, and Rewards.

What data points are used to get the expense categorization?
Our expense categorizations are derived from keywords in the transaction description.

How many categories are available in the expense product?
Expense analyzes each debit transaction and spends categories based on 30+ types of retail customers such as Fashion, E-commerce, f&b, Education, Entertainment, Groceries, Health, Investment, and others.

How do Brankas determine the data?
AI and Machine learning are used to determine expenses based on a working data model. With a training set of over thousands of transactions, it enables the categorization of expenses more effectively vs Database Matching.

How many months of historical data can we retrieve?
6-12 months of transaction data, depending on the Bank

What is the user journey looks like for the expense retrieval?
The user journey will be the same as the statement retrieval since we are using statement data to process the expense categorization.

Do I have to use Statement to get Expense data?
Yes, Expense is a part of Statement. Integrate with Statement APIs to retrieve Expense data in the response.

Where can we see the expense estimation?
After the user finished the retrieval flow, you can see the expense estimation inside the debit transaction data.


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