HawkSearch

HawkSearch provides AI-powered ecommerce search solutions to help customers deliver a better user experience and drive conversions. Gartner has named HawkSearch as a Leader in the Magic Quadrant for Search and Product Discovery, helping customers find the right product every time.

Some of the key features include:

• Concept Search: Customers can ask questions or describe problems in up to 50 languages and get results.
• Image Search: Customers can search with images, which is as powerful as 1000 keywords.
• Image Finder: Customers can describe an image and get the right product.
• Smart Autocomplete: Provide customers with instant, personalized recommendations as they type.
• Relevant Recommendations: Use machine learning to show best-selling, trending products and related content.
• Product Comparisons: Provide advanced comparison capabilities to help customers make informed purchasing decisions.
• Merchandising: Curate search results and recommendations to drive sales and increase shopping cart size.
• Engineering Integration: Supports REST API, content management systems, and on-site search.

HawkSearch can be used for a variety of use cases:

• Business-to-Business (B2B): Ideal for high-volume parts environments.
• Business-to-Customer (B2C): Enhance site search and provide data-driven product recommendations.
• Content Industry: Organize and deliver content to the right audience.

The platform integrates with a wide range of platforms, including Adobe, BigCommerce, Hybris, Kentico, Optimizely, Salesforce, Sitecore, and WooCommerce, so customers can easily integrate HawkSearch into their existing technology stack.

HawkSearch is designed to increase conversions and revenue by providing personalized recommendations, improving product comparisons and streamlining search results. With AI-driven technology, it empowers businesses to deliver a better shopping experience and increase average order value. For those looking to take their ecommerce to the next level, HawkSearch offers a powerful and customizable solution.

Published on June 25, 2024