Overview

HawkSearch is an AI-driven site search, recommendations and merchandising platform designed to improve discoverability and conversion across e-commerce and content sites. The platform leverages natural language processing, large language model capabilities, and visual recognition to surface relevant products and content, personalize results, and provide merchandising controls and analytics for marketers and merchandisers. HawkSearch is delivered as a cloud service with APIs, SDKs and developer tools for rapid integration.

Features and Capabilities

• Core Search & Relevance: Natural language processing, concept search and keyword search that return relevant results for descriptive queries and synonyms; multi-language support and configurable synonym lists.
• AI Hub & Smart Search: LLM/NLP powered Smart Search to interpret user intent, concept matching and guided queries to find items when users don’t know exact keywords.
• Recommendations & Personalization: Product recommendations and personalization layer that increase basket size and tailor results by user behavior and business rules.
• Merchandising & Rapid UI: Visual merchandising tools (drag-and-drop landing pages, boosting/burying items), manual rules and quick UI to promote or demote items and configure landing pages.
• SEO Traffic Builder: Tools that convert search results into SEO-ready landing pages to capture organic traffic and improve indexed content performance.
• Analytics & Reporting: Usage reporting, top queries, conversion metrics and dashboards that help tune relevancy and merchandising strategies.
• Integrations & Connectors: Prebuilt connectors and APIs for data indexing, third-party platform integrations and multi-site management.
• Developer Tools & Rapid UI Framework: APIs, SDKs, Rapid UI components and documentation for embedding widgets and building custom experiences.
• Industry Accelerators & Synonym Sets: Prebuilt industry-specific synonym sets and accelerators to speed deployment in verticals like B2B e-commerce.
• Data Normalization & Recommendations Strategies: Recommendation strategies and algorithms for consistent cross-catalog results, including strategy management for recommendation widgets.