Klarna Shopping
Search and compare prices from thousands of online shops. Only available in the US.
Klarna Shopping plugin provides Assistant with relevant product suggestions from thousands of online shops in the USA. Assistant shows the search results with product attributes listed, together with a link to the product and a brief explanation. The plugin also enables quick product comparison with a summary sentence. Assistant's product expertise is put to use with helpful follow-up questions guiding users to find the right product. Reduce the time and effort needed to find the right product with Klarna Shopping plugin!
How to
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API docs
Learn how to use Klarna Shopping effectively! Here are a few example prompts, tips, and the documentation of available commands.
Example prompts
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Prompt 1: "I'm looking for a new laptop for gaming, can you find me some options?"
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Prompt 2: "I need a new pair of running shoes, can you help me find some?"
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Prompt 3: "I want to buy a gift for my friend who loves cooking, any recommendations for kitchen gadgets?"
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Prompt 4: "I'm looking for a book to read, can you suggest some popular titles?"
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Prompt 5: "I'm redecorating my living room, can you find me some stylish furniture options?"
Features and commands
| Feature/Command | Description |
|---|---|
getProductSuggestions | This command allows the AI to fetch relevant product suggestions based on a query provided by the user. The query should be specific and mention the desired product or category in its singular form. The AI will return a list of products with their attributes, including name, price, and URL. It will also provide an explanation for each product and a link to the product page. |
compareProducts | This command compares the products returned by the AI in a summary sentence. The comparison considers the most important features of the products and provides a concise overview of the options. |
askFollowupQuestion | This command prompts the AI to ask helpful follow-up questions related to the user's request. The AI will leverage its product expertise to provide information that may guide the user in their search for the right product. The follow-up question will always end with a question mark. |