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Q&A

What is Claros?

Claros is an AI-assisted shopping tool aimed at helping users make informed purchasing decisions by providing expert advice on products.

How does Claros help with purchasing decisions?

Claros uses natural language query processing to understand a user's product needs described in their own words, and then generates tailored product recommendations based on features, user preferences, and other specific criteria.

How does the natural language query work in Claros?

Claros' natural language query function enables users to describe in their own words the product they are seeking to purchase. The AI then processes this language to understand the user's specific needs and generate tailored product recommendations.

What types of products does Claros specialize in?

Claros does not specialize in a particular product but covers a wide range of items, including but not limited to snowboards, guitars, and laptops.

What is the ChatMessage feature in Claros?

The ChatMessage feature in Claros provides a more personalized level of interaction by connecting users to real persons via Discord for more specific shopping assistance.

How does Claros connect users to assistance via Discord?

Claros uses the ChatMessage feature to link users to assistance through Discord. By clicking on the provided Discord link, users can communicate directly with real individuals for further help and advice.

+ Show 11 more

What is the role of Amazon Affiliate links in Claros?

With Amazon Affiliate links integrated into Claros, users have the convenience of purchasing recommended products directly through Amazon.

Are the Claros recommendations based on sponsored products?

No, Claros' product recommendations are purely influenced by objective factors such as product reviews, features, and specifications, not by sponsored products.

Where does Claros get its information about product reviews, features, and specifications?

Claros acquires its information on product reviews, features, and specifications from a variety of sources, primarily leveraging the vast product and review data available on Amazon's platform.

How personalized are the recommendations generated by Claros?

Claros' recommendations are highly personalized, as they are tailored to each user's specific description of what they are seeking to purchase, their unique preferences, and other specific criteria.

How does Claros ensure the objectivity of its product recommendations?

Claros ensures the objectivity of its product recommendations by basing them on factual data such as product reviews, features, and specifications, irrespective of any sponsorships.

Can I use Claros even if I'm not an expert in the product I want to buy?

Yes, Claros is designed to assist consumers of all levels of expertise. Users only need to describe the product they want in their own words, and Claros will generate suitable recommendations.

Does Claros require any tech-savviness to use?

No, Claros requires minimal tech-savviness. It's built with user-friendliness in mind and uses natural language processing to understand user needs from straightforward, everyday language.

How to start with Claros?

To start with Claros, users just need to describe the product they want to buy, and Claros will generate recommendations.

What platforms does Claros support?

Claros supports Amazon platform where users can purchase their recommended items directly.

What's the advantage of using Claros compared to reading traditional product reviews?

Using Claros can be advantageous over reading traditional product reviews because it generates customized recommendations based on users' specific needs, preferences and other criteria. This personalized and direct assistance can save users' time and help them make more informed purchasing decisions.

How reliable are Claros's product recommendations?

Claros's product recommendations are extremely reliable as they are based on objective criteria such as product reviews, features, and specifications, without any influence from product sponsorships.

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MD Shahab, thank you for reporting the bug. That shouldn't have happened, and I'll investigate the issue. If it fails again, please try re-running the same query - this isn't a common occurrence. Since it's an agent-based system, it may take some time to combine responses from all sources.

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