Build a comprehensive financial customer profile through our advanced machine learning technology. Enabling data risk modelling for data driven decision-making on financial products and services.
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Our innovative technology allows you to delve deep into the transactional behaviour of South African Customers through advanced transaction categorisation.
Beyond simple organisation, it comprehensively understands the context of each transaction, enabling insightful analysis and trend identification. This functionality will assist in building a robust assessment of a customer's individual's financial profile, capturing spending habits on groceries, investments, or even gambling, and much more.
Transaction Categorisation Demo Video
How catering for refined transaction categorisation actually works?
How to enable refined transaction categorisation?
As simple as setting a query parameter!
Take a look at the 36 transaction categories!
Debits
Primary Expenses
Accommodation
Groceries and Meals
Investment and Savings
Mobile Prepaid
School and University Fees
Travel Expense
Utilities
Obligation Expenses
Funeral Insurance
General Insurance
Health Insurance
Home Loan Finance
Life Insurance
Loan Repayments
Mobile Contract
Recurring Debit Order
Vehicle Insurance
Vehicle Loan Finance
Recurring Expenses
Recurring General Expense
Other Expenses
Bank Fees
Entertainment
Failed Debit Order
Failed Transaction
Gambling
General Expense
Other Expenses
Transfers
Withdrawal
Unknown
Credits
Main Income
The highest credit value with the below transaction categories: