Klarna Offers a Shopping Search App As BNPL Rivalry Grows

Why It Matters

By embedding AI search into its BNPL ecosystem, Klarna can capture more shopper intent, boost merchant traffic, and deepen its data advantage in a crowded market.

Key Takeaways

• Klarna's app taps ChatGPT for real‑time product searches.
• Access to 100 million products and 400 million merchant listings.
• Targets 43 million U.S. users, 35% BNPL market share.
• Aims to cut shopper research time from minutes to seconds.
• Intensifies rivalry with Affirm and Zip in the BNPL space.

Pulse Analysis

Buy‑now‑pay‑later providers are racing to add sticky features as the market matures. Klarna, which commands roughly 35 % of global BNPL volume and serves about 43 million U.S. shoppers, unveiled the Klarna Shopping Search app on Wednesday. The tool plugs OpenAI’s ChatGPT into a dedicated Klarna server, letting users type a product request and receive instant price, availability and offer data drawn from the company’s catalog of roughly 100 million items and 400 million merchant listings. After the AI‑driven answer, the app redirects shoppers to the merchant’s checkout page, compressing a multi‑tab comparison into a single conversation.

The sheer scale of Klarna’s product database gives the app a relevance advantage over generic search engines, surfacing merchant listings that already support its BNPL checkout flow. Competitors are scrambling to match that convenience. Earlier the same day, rival Affirm announced a new partnership with Royal Caribbean to embed its BNPL option in UK, Canadian and U.S. travel bookings, while Zip teamed with InComm Payments to let users split gift‑card purchases. Klarna’s direct‑to‑merchant routing could siphon traffic from these offers, forcing rivals to double‑down on integrations or price incentives.

Nearly half of American consumers—about 47 %—have tried a BNPL product, and the convenience of AI‑powered search could push that figure higher by lowering friction at the discovery stage. As shoppers spend less time comparing tabs, average order values may rise, boosting merchant revenues and reinforcing Klarna’s data moat. However, regulators are watching the convergence of credit, e‑commerce and generative AI, warning that opaque pricing or algorithmic bias could trigger scrutiny. If Klarna can balance seamless experience with transparent terms, its Shopping Search could become a template for the next wave of AI‑driven commerce.