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Checkout.com Uses AI To Boost eCommerce Acceptance Rates
Intelligent Acceptance leverages the company’s global data network to increase acceptance rates, lower fees, and improve merchant’s profits.
Global payments solution provider, Checkout.com, has launched a new feature called Intelligent Acceptance. The system uses an AI-powered optimization engine that can monitor billions of transactional data points, with early beta testing showing a 9.5% average improvement in checkout acceptance rates.
“We believe in abstracting complexity for businesses and empowering them to optimize their payments with ease. Machine learning enables us to […] leverage our expansive global transaction data to provide real-time insights. Meanwhile, an adaptive AI-powered payments engine constantly optimizes acceptance rates, unlocking more revenue, saving time, and offering greater cost controls,” says Meron Colbeci, Chief Product Officer at Checkout.com.
False declines — legitimate transactions mistaken for fraud attempts and subsequently blocked — are a $50.7 billion problem globally. Intelligent Acceptance can route card payments through the system much more smoothly, using continuous adaptation while leveraging Checkout.com’s global network and direct relationships with card acquirers to deliver incremental improvements.
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Intelligent Acceptance can also drive down a merchant’s costs by dynamically routing transactions to the network with the lowest fees. Furthermore, if a transaction requires 3DS authentication, data can be automatically added to a payment request to ensure compliance.
The launch of Intelligent Acceptance comes as business leaders seek new ways to drive revenue and improve cost efficiencies to reconcile increased expenses. Research conducted by Checkout.com in partnership with Oxford Economics recently revealed that up to 25% of consumers abandoned an online purchase due to too much checkout friction, resulting in significant lost revenue for merchants.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
