Lucidworks makes any ‘search-and-find’ experience delightful, wowing buyers, users, and employees with real-time, hyper-relevant content.
When users search and browse, the results they get create the experiences they have. Lucidworks improves experiences by uncovering insights from user signals across touchpoints combined with artificial intelligence to accelerate search relevance.
Users search, browse, shop, and learn across various touchpoints and channels. Utilizing all that collective data the right way takes serious technology and expertise. Lucidworks leads the world in accelerating multi-touchpoint (omnichannel) relevance at scale. Lucidworks' out-of-the-box deep learning models interpret user intent behind modern, contemporary searches, so you can serve up the most relevant products and content for each individual user.
Lucidworks utilizes the power of deep learning to combine the best Lexical and Semantic Vector models for accurate search results across the enterprise. Unlike other solutions, Lucidworks Neural Hybrid Search harmoniously blends out-of-the-box functionality and deep customization, particularly for custom-trained embedding models, LLM and AI models.
Lucidworks solutions are supported by Lucidworks’ product Smart Rank, which shortens the path to purchase using granular user signals—user context, location, affinity, and more—to connect buyers to items that align with their tastes and preferences.
This out-of-box solution can be applied to the result, category, and navigation pages to influence conversion by ranking hyper-relevant products at the top of a list.
Lucidworks puts signals to work by capturing rich user clickstreams and metadata.
Lucidworks collects signals and weighs signals to prioritize interactions and metadata to drive more precise relevance.
Personalization powered in real-time using signals and multi-channel data.
Lucidworks dynamically searches a website’s indexed content and generates results that are relevant to the query.
Lucidworks' typeahead is the use of machine learning algorithms to suggest search terms and phrases in real-time as a user types in a search query.
Lucidworks can increase engagement and conversions by promoting popular or trending topics or products based on real-time analysis of user behavior and preferences.
Dynamic recommendations are used to suggest content or products that are similar to those that the user has already viewed or purchased.
Lucidworks Platform uses signal metadata and machine learning algorithms to optimize the navigation experience, including dynamic content, facets and categories.
Lucidworks uses AI and machine learning algorithms to automatically generate or personalize landing pages based on user behavior and preferences.
AI, natural language processing, and data connectors extract insights from data across the enterprise.
Lucidworks uses structured and unstructured data, product views or catalogs, and customer interactions to understand user’s context and intent and provide relevant search results.
Lucidworks supports agile and configurable technology where every component is pluggable, scalable, replaceable, and continuously improved to meet evolving business requirements.
Lucidworks addresses multi-language, multi-cultural searches in over 70 languages, including language detection, query support, and contextualization.
Front-end applications allow users to interact with the search and analytics capabilities of Lucidworks, including configuration, visualization changes, and integration with existing enterprise systems.
Cloud Search: a SaaS solution hosted in the cloud and fully managed by Lucidworks.
Self-Hosted Fusion: self-hosted solution on-premises or in a client cloud environment, installed and managed on the client’s own infrastructure and managed entirely by the client.
Organizations can monitor and measure the search performance through dashboards—including KPI dashboards—and customizable reports that help organizations track and analyze various KPIs.
Lucidworks provides a range of security features that protect data and ensure compliance with industry standards including role-based accessed control and encryption.
Lucidworks offers a range of connectors that allow users to easily ingest and index data from various sources.
Lucidworks offers enterprise-grade technology using open-source software to integrate with a variety of data sources and scale horizontally to handle large datasets.
Bring any data science model into Lucidworks to leverage existing investments, or utilize other models to create intelligent search and personalization solutions.
A unique search methodology that utilizes semantic neural networks combined with traditional lexical search techniques to create a more intelligent search experience that better understands users.
Investment-wise future-proofing capabilities such as flexible architecture, the ability to bring any model into Lucidworks, open standards, community and partner support, LLM management, AI, and is cloud-ready.
Improve time-to-value with out-of-the-box and configurable native applications.
Personalize shopper experiences with merchandising technology that dynamically curates results, business rules, and page layouts with little-to-no coding effort or help from IT.
Empower your knowledge or workplace teams by allowing them to easily create engaging page layouts and relevancy rules with a drag-and-drop UI to tune relevancy with little to no coding effort.
Accelerate relevance for searching pricing and product catalog data at scale. When a search query is made, no extra database calls are required, and sorting, faceting, and filtering are search enabled.
Eliminate zero-result pages and increase conversions with semantic vector search. No need to re-platform. No more zero results pages.
Extend your chatbot and virtual assistants to connect users to correct answers by understanding user intent and answering natural language questions.
Lucidworks was named a leader in the 2024 Gartner Magic Quadrant for Search and Product Discovery
Forrester Total Economic Impact for Lucidworks 2023: $13.9M net present value, <6 months payback
of documents indexed for the world's biggest organizations
50% of the top U.S. online retailers use Lucidworks
With thousands of skus and millions of annual website visitors, matching a customer to the right product was a struggle, until Lucidworks ML began to assist.
LEARN MOREDipendra Malhotra, Head of Analytics, Intelligence, and Data Technologies at Morgan Stanley, discusses optimizing content for search.
LEARN MORELearn how Lenovo personalized customers’ search results and improved relevancy with Lucidworks' machine learning capabilities and out-of-the-box tools.
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