By DBi🌐 International | August 22, 2025
According to McKinsey’s 2024 Global Payments Report, the global digital payments market is projected to reach USD 14 trillion by 2028. But across industries, payment decline rates average between 5–15%, often due to avoidable factors such as outdated routing, false fraud flags, or insufficient retries.
Artificial Intelligence (AI) is now helping businesses reclaim this lost revenue, boosting acceptance rates, cutting costs, and enhancing customer experience.
AI models analyze millions of transaction data points in real time, detecting approval trends and optimizing requests for each issuer.
• Many merchants see 2–4% increases in acceptance rates after implementing AI-driven authorization tools.
Example: Visa’s AI-powered VisaNet +AI has improved approval accuracy for thousands of global merchants.
Leading country: United States. With companies like Visa, Mastercard, and PayPal, the U.S. leads in deploying large-scale AI transaction optimization tools.
AI determines the best payment path, routing each transaction to the acquirer most likely to approve it. This reduces failed payments and lowers processing costs.
Example: Adyen’s smart routing technology increases approval rates by automatically selecting optimal acquiring banks for each customer’s location.
Leading country: Singapore. As Asia’s fintech hub, Singapore’s payment providers use AI routing to connect efficiently with multiple global acquiring networks.
Failed payments, especially in subscription-based businesses — represent recurring revenue at risk. AI automatically retries failed transactions at optimal times or with updated details.
• Recovery rates can reach up to 57% for lost recurring revenue.
Example: Stripe’s Smart Retries uses machine learning to identify the best retry moment for subscription payments.
Leading country: United Kingdom. London-based fintech companies are integrating AI retry systems to support Europe’s booming subscription economy.
AI analyzes customer behavior to present the most relevant payment methods at checkout, increasing the likelihood of successful completion.
Example: Checkout.com’s AI checkout adapts in real time to customer preferences, supporting higher conversion rates.
Leading country: Sweden. With innovators like Klarna, Sweden leads in personalizing payment experiences that improve both revenue and customer satisfaction.
Overly strict fraud rules can block legitimate transactions, leading to lost revenue. AI fraud detection systems identify risks in real time while minimizing false positives.
• Mastercard reports that AI-driven fraud detection has reduced false declines by up to 50%, protecting sales while securing transactions.
Leading country: United Arab Emirates (UAE) – The UAE’s advanced fintech regulations and AI-powered fraud systems are helping merchants process safer payments at scale.
Companies using AI-powered payment optimization platforms like Stripe, Adyen, and Checkout.com have collectively unlocked billions in additional merchant revenue over recent years.
• Improved approval rates directly translate into stronger cash flow, higher customer satisfaction, and greater long-term loyalty.
• Subscription-based businesses recover more than half of previously lost recurring revenue through intelligent retries.
AI payment optimization is not just a tech upgrade, it’s a revenue growth engine. In a competitive global market, every transaction counts. Leveraging AI ensures that more of those transactions are approved, processed cost-effectively, and protected from fraud.
For businesses operating internationally, AI payment systems offer a critical edge, turning each payment into an opportunity for growth.
At Doing Business International (DBi), we connect companies with cutting-edge payment and fintech solutions worldwide. Contact us to explore AI-powered payment strategies tailored to your market.
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