Klarna Deploys AI to Improve Checkout

Klarna's CEO outlined the company's aggressive adoption of AI to streamline its fintech operations, risk management, and customer interactions. For Shopify merchants, this strategy is expected to translate into ongoing improvements in buy-now-pay-later (BNPL) checkout workflows. The aim is to deliver faster credit approvals and reduce cart abandonment, thereby increasing conversion and average order value.

- Klarna's AI assistant handled 2.3 million customer service chats in its first month, which accounts for two-thirds of all customer service inquiries. This is equivalent to the workload of 700 full-time agents and is projected to increase profits by $40 million in 2024. - The company has significantly reduced marketing and sales expenses by 11% in the first quarter of 2024, with AI contributing to 37% of those savings, amounting to an estimated $10 million annually. Klarna has also cut spending on external marketing agencies by 25%. - Using generative AI tools like Midjourney and DALL-E, Klarna produced over 1,000 images in early 2024, cutting the image development timeline from six weeks to seven days. This has led to a $6 million savings in image production costs. - An internal AI tool called Copy Assistant is utilized for 80% of all copywriting, and nearly 90% of Klarna's employees now use generative AI in their daily work. - The AI-powered customer service has decreased the average resolution time for customer inquiries from 11 minutes to under 2 minutes, while maintaining customer satisfaction scores on par with human agents. - Klarna has a direct partnership with OpenAI and was one of the first brands to use its protocol to build a plugin for ChatGPT, enabling personalized shopping recommendations within the chat interface. - Beyond customer interaction, Klarna employs AI for more accurate credit scoring and fraud detection by analyzing transaction data in real-time to identify and minimize fraudulent activities. - Despite the extensive AI adoption, CEO Sebastian Siemiatkowski has acknowledged that an over-reliance on AI for cost-cutting negatively impacted service quality, prompting the company to resume hiring human agents for more complex support issues.

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