Transaction labeling
by Kontomatik · Data and analytics · Warsaw, Poland
Machine learning labels financial behaviors from transaction analysis to identify valuable customers.
What Transaction labeling does
- Analyzes transaction patterns
- Assigns financial behavior labels
- Identifies customer financial patterns
- Distinguishes valuable customers
- Processes thousands of transactions
What Transaction labeling is used for
- Understanding financial behavioral patterns
- Identifying valuable customers
- Segmenting customer base
Who Transaction labeling is for
- Banks
- Lenders
- Fintechs
About Kontomatik
Open banking API with machine learning for financial data access, identity verification and risk analysis.
Kontomatik in the vendor registry: its products, features and similar vendors.
Also by Kontomatik
- Access to account information: Read-only API providing consolidated banking data from supported banks including account details, balances and transaction histories.
- Identity verification: Instantly verifies customer identity and minimizes fraud risk using banking data.
- Income and spending check: Securely verifies customer income and spending in seconds using banking data analysis.
- Risk analysis (scoring): Multi-factor risk analysis using machine learning to evaluate financial health and reduce customer insolvency risk.
- PDF document analysis: Automated analysis of PDF documents replacing manual verification with seconds of automatic processing.
- Account Information Access: Open banking access to account data
More in this category: Data and analytics platforms for financial services.
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