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BNPL - data sheet

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Provenir for Buy Now, Pay Later: Accurate Decisions. Agile Platform. Future-Proof Technology.

Buy Now, Pay Later (BNPL) is maturing as regulations loom worldwide. The focus is no longer customer acquisition at any cost, but sustainable profitability, as BNPL products are expanding into new markets, verticals, and infrastructures. To build or update a BNPL product that works for the company, consumers, and eventually for regulators, you need accurate credit risk decisioning to keep defaults under control, an agile platform to attract (and keep) the right kind of customer, and scalability to support a future-proof product. Provenir’s BNPL technology powers smarter decisions with the flexibility you need to future-proof your business. Offer frictionless onboarding, superior customer experience, and financial inclusion opportunity, while strengthening your credit risk foundation. Pivot to profitability with advanced credit risk decisioning technology supported by robust and relevant data sources, including alternative data, and AI/ML-driven analytics and insights for superior customer experience and increased customer lifetime value (CLV).

Choose Provenir For: Credit Risk Analytics + Decisioning: Efficiently and accurately predict risk for each customer without relying on traditional credit scores. Compliance: Manage current compliance and seamlessly adjust or expand for future regulation with orchestrated KYC, AML and affordability processes seamlessly integrated into the overall credit workflow. Real-Time Customer + Merchant Onboarding: Perform compliance checks, identity verification and risk decisioning in real-time to onboard customers in milliseconds.

Integrated Fraud Processes: Reduce fraud risk with robust AML and KYC tools, digital footprint tracking, transaction monitoring, real-time data access and insights, for a fully integrated fraud process. Sustainable Growth: Leverage AI/ML analytic insights to ensure your BNPL product is performing efficiently and supporting the maximum CLV by optimizing strategies and processes that minimize bad and maximize the good.


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