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By 2028, the number of users of BNPL services (Buy Now, Pay Later) is predicted to double to 670 million, an explosive 107% growth compared to 2024. However, as the industry flourishes, so inevitably do the risks ranging from fraud to late payments. on an annual basis to reach US$560.1 billion in 2025. billion.
This broad applicability in banking (from automating fraud reviews to generating customer communications) underscores how financial firms are integrating GenAI into their core workflows more aggressively than most. Indeed, 64% of finance leaders report using AI for frauddetection and risk management in their institutions.
Open data, in turn, enriches these offerings, enabling innovative credit scoring and riskassessment beyond traditional banking channels. For payments firms, the intersection of payments and credit is becoming a competitive battleground, especially as BNPL and embedded lending scale.
Priore shares his observations on Gen Z’s adoption of newer payment methods like buy now, pay later (BNPL) for smaller purchases. BNPL and younger generations What trends are you seeing in terms of Gen Z’s preferences and adoption of solutions like buy now, pay later (BNPL) for smaller ticket purchases?
Machine learning enhances this approach by processing vast datasets to identify subtle patterns and predict fraudulent activities, making real-time anomaly detection and riskassessment possible. The most successful approaches will prioritise creating frictionless user experiences without compromising security.
Attendees can expect to gain a clearer understanding of the realities of the BNPL industry, insights into the strategies BNPL providers employ to build trust, drive responsible growth, and navigate regulatory changes. Moderating the session will be Tristan Chiappini, VP APAC and Managing Director at PPRO.
Applicable to large organisations, the offence imposes criminal liability if firms do not have adequate fraud prevention procedures in place, even if senior leadership is unaware of the misconduct. For merchants, particularly large retailers, platforms, or multi-channel businesses, this marks a significant shift in fraud liability.
A riskassessment follows, evaluating the merchants profile through credit checks and performance analysis, leading to application approval or rejection based on these findings. Transaction Processing MMS integrated with payment gateways enables merchants to accept multiple payment methods, including cards, UPI , wallets, and BNPL.
“They’re also developing value-added services like frauddetection and data analytics to remain competitive. “For instance, BNPL (buy now, pay later) providers like Affirm and Klarna are actively encouraging merchants to incorporate their payment methods early in the customer journey.
Key Features Diverse Product Support : FinBox supports a wide range of loan products, from working capital loans to Buy Now, Pay Later (BNPL) schemes, enabling lenders to cater to varied borrower needs. AllCloud AllClouds Loan Origination System focuses on delivering speed, accuracy, and scalability for lending businesses.
Security & Fraud Prevention Given the high-risk nature of online gaming, security is non-negotiable. Look for a gateway that includes PCI compliance, frauddetection tools, chargeback mitigation strategies, and AI-driven risk analysis to protect transactions and user data.
Key developments include progress on stablecoin regulation with draft legislation anticipated, advancements in open banking and variable recurring payments (VRPs), outcomes from the PSR's review on card fees, and the introduction of buy now pay later (BNPL) legislation in Parliament.
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