Natural Language Search

<strong>Natural Language Search</strong>

Are your customers frustrated by keyword-based search engines that don’t understand their natural language queries? AI-driven search engines leverage natural language processing to understand the intent behind user queries, even if they are phrased in everyday language. This results in more accurate and relevant search results, improving the user experience and increasing the likelihood of finding the desired information.

  • E-commerce
  • Retail
  • Travel
  • Media
  • Education
  • Users
  • information seekers
  • researchers

Key Beneficiaries

  • students
  • professionals

Industry-wide challenges we cater

Keyword-based searches lead to irrelevant results and frustrated users.

  • How can we ensure that users find relevant results even if they don’t use specific keywords?
  • How can we improve search accuracy and relevance without relying on advanced AI algorithms?
  • How can we understand the intent behind user queries without natural language processing capabilities?
  • How can we handle synonyms, abbreviations, and other variations in language without AI?
  • How can we provide users with a seamless and intuitive search experience without AI?

43% of search queries are longer than 3 words, indicating a preference for conversational language. – Moz

61% of consumers prefer using natural language search over keyword-based search. – Search Engine Journal

72% of consumers expect search engines to understand their intent, not just their keywords. – Google

Ambli Universe Suite Our solutions to overcome the Industry challenges

Intelligent insights. Seamless integration. Multi-format support. Scalability.

Ambli AudioSense

  • Enable Voice-Based Searches:Allows users to search for information using natural language, enhancing the user experience.
  • Understand Complex Queries:Uses AI to understand and process complex natural language queries, providing accurate results.
  • Improve Search Accuracy:Enhances the accuracy of search results by understanding the context and intent behind queries.

Ambli DocSense

  • Provide Contextual Search Results:Uses AI to understand the context of search queries, delivering highly relevant results.
  • Enhance Document Retrieval:Quickly finds and retrieves necessary documents based on natural language queries, improving efficiency.
  • Improve Search Efficiency:Streamlines the search process, helping users find the information they need more quickly and accurately.

Ambli eComSense

  • Understand Customer Queries:Uses AI to understand the intent behind natural language search queries, providing relevant product recommendations.
  • Enhance Product Search:Improves the accuracy and relevance of product search results, enhancing the shopping experience.
  • Anticipate User Needs:Analyzes user behavior to anticipate their needs and provide personalized search results.

Want to build your own Ai Solution?

Contact Us

AI-powered search solutions for eCommerce platforms revolutionize the way customers discover and interact with products online. By leveraging advanced algorithms and machine learning techniques, these solutions enhance search accuracy, provide personalized recommendations, and improve overall user experience. Features include natural language processing for understanding complex search queries, predictive analytics to anticipate user intent, visual search capabilities for finding products based on images, and real-time updates to ensure product availability and pricing accuracy.

Define the Use case / Problem statement

Prepare the Proposal & Engagement model

Kick-start the Execution and Deliveries