Outfindo

Enhance shopping with intuitive conversations for revenue growth.

AI-driven shopping assistant customer engagement product selection conversation AI outfindo product guide outfindo product content

Tool Information

Primary Task Shopping assistance
Category operations-and-management
Sub Categories e-commerce recommendation-engines chatbots customer-support
Country Czech Republic
Industry information technology & services
Technologies Cloudflare DNS, Mailchimp Mandrill, Gmail, Google Apps, Amazon AWS, Vercel, Google Font API, Linkedin Marketing Solutions, Hubspot, Mobile Friendly, DoubleClick Conversion, Google Dynamic Remarketing, reCAPTCHA, Google Tag Manager, DoubleClick, WordPress.org, Remote
Website Status 🟢 Active

Outfindo is an AI-driven tool that enhances the shopping experience on a website by guiding and assisting customers in product selection. Unlike traditional filter-based systems, Outfindo implements an intuitive, conversation-like approach to understand the customer's needs and suggests products accordingly, significantly improving website engagement. The tool comprises two major features the Outfindo Product Guide and Outfindo Product Content. The former replicates the experience of a brick-and-mortar store by probing predefined customer-centric questions in a natural human-like conversation, whereas the latter standardizes product information, outlining key features with extended details to assist customers in their decision-making. Furthermore, it seamlessly integrates real-time data directly from the manufacturers. The tool maintains its relevance across various products, making it product agnostic. Outfindo also includes data analytics in its robust technology, scrutinizing digital footprints of customers to identify patterns and formulate optimized guidance paths for the buyer's journey. This eliminates the need for manual data management and ensures up-to-date, enhanced product descriptions.

OUTFINDO is an e-commerce technology company based in Prague, founded in 2020. The company specializes in AI-driven guided selling solutions aimed at simplifying online shopping. With a total funding of $1.45 million, including a recent €1.2 million round in January 2025, OUTFINDO is focused on expanding its market reach. Its mission is to reduce decision fatigue for customers, leading to higher conversion rates and lower return rates.

The company offers AI-powered product selection tools that enhance customer interactions through conversational shopping experiences. Key products include a plug-and-play Product Guide that uses decision-based questioning to help customers find suitable products, and AI models like Beacon and Diver, which provide personalized recommendations and improve product data accuracy. OUTFINDO's platform is designed for quick integration, allowing retailers to upload product feeds and set up tailored guidance flows in minutes. The company serves retailers across 26 product categories in 10 countries, emphasizing scalability and customization for mid-market to global e-commerce retailers.

Pros
  • Enhances shopping experience
  • Assists in product selection
  • Conversation-like approach
  • Improves website engagement
  • Customer-centric question feature
  • Standardizes product information
  • Outlines key product features
  • Real-time data integration
  • Manufacturer information integration
  • Product agnostic
  • Customer digital footprint analytics
  • Optimizes buyer's journey
  • Enhanced product descriptions
  • Eliminates manual data management
  • Supports revenue growth
  • Detailed product content
  • Proactive shopping assistant
  • Probing product guide
  • Effective customer engagement
  • Pattern identification in shopping
  • Instantly integrated data
  • Real-time data updates
  • Plug and play solution
  • Free trial available
  • Value-based pricing
  • Easy implementation
  • Optimized selection guide
  • Dynamic product data intelligence
  • Customizable questions
  • Efficient conversion rates
  • Increases customer inquiry
  • Supports informed buying decisions
  • Robust technology backend
  • Product data management relief
  • Revenue boosting capabilities
  • Extensive user testing
  • Smooth integration with website
  • Research driven guidance flow
Cons
  • Lack of multi-language support
  • Dependent on manufacturer's data
  • Potentially intrusive data analytics
  • Requires website coding knowledge
  • Limited customization options
  • No offline support
  • May slow down website
  • Limited to product-based businesses
  • No integration with social media
  • No mobile app support

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