Adyen Launches AI Payment Suite with 6% Conversion Boost
Adyen has introduced an artificial intelligence-powered payment optimisation product that promises to increase transaction success rates by up to 6% compared to traditional systems.
The new product suite, called Adyen Uplift, uses machine learning algorithms to analyse payment data and automate decisions about transaction routing, fraud prevention and cost optimisation.
The system draws on data from more than one trillion dollars worth of processed payments across Adyen's global platform.
It has so far been piloted by 60 enterprise businesses, including outdoor clothing retailer Patagonia, employment platform Indeed, cybersecurity firm NordSecurity and streaming service Fubo.
These early adopters represent a cross-section of digital commerce, from retail to subscription services.
Payment optimisation and fraud control
The technology addresses a persistent challenge in payment processing: the balance between accepting legitimate transactions and preventing fraud.
Conventional systems often require merchants to choose between higher acceptance rates and stronger fraud controls, potentially leading to lost sales or increased risk.
Swiss performance sportswear manufacturer On has seen a 2% increase in successful transactions since implementing the system.
“We've increased our conversion rate by up to 2% with Adyen's AI, making a real difference to both our performance and cost efficiency, while keeping fraud under control,” says Luca Spichtig, Head of Digital Operations & Projects at On.
“We've increased our conversion rate on customer initiated transactions by 10% by leveraging Adyen's AI technology, which optimises the entire payment funnel while maintaining control over fraud and costs”
Risk management automation
Early results from enterprise clients show an 86% reduction in manual fraud prevention rules, with 35% of pilot customers eliminating manual rules entirely.
The system uses artificial intelligence to identify patterns in transaction data, automatically adjusting fraud controls without human intervention.
Nord Security, a provider of virtual private network services, reports a 10% increase in successful customer-initiated transactions.
“We've increased our conversion rate on customer initiated transactions by 10% by leveraging Adyen's AI technology, which optimises the entire payment funnel while maintaining control over fraud and costs,” says Kes Saulis, Head of Payments at Nord Security.
The platform's fraud detection capabilities are enhanced by Adyen's extensive transaction history, which includes payment data from over one billion consumers globally.
For retail merchants using the platform, Adyen reports it has previously processed payments for more than 90% of incoming shoppers, enabling more accurate risk assessment.
The platform approaches fraud prevention through what Adyen terms an 'AI-first approach', moving away from the traditional system of manual rule creation.
This shift addresses the challenge of responding to evolving fraud techniques, which historically required constant updates to rule sets by fraud management teams.
The system can identify returning customers across different merchants for businesses on the platform, enabling faster checkout for known legitimate shoppers while maintaining security standards.
Cost reduction through intelligent routing
In the US, pilot customers have reduced payment processing costs by up to 5% through automated route optimisation.
The system selects payment processing paths based on cost and reliability, while maintaining transaction success rates.
Indeed, the global employment platform, has implemented the system to reduce operational workload through process automation. The company used AI-based optimisation experiments tailored to its specific business requirements.
“Balancing risk management, driving conversion, and minimising cost has always required ineffective compromises – until now,” says Carlo Bruno, VP of Product at Adyen.
“Adyen Uplift changes the game by unleashing the depth and power of AI to solve for real-time payment optimisation.”
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