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Searchandising

Guide shoppers through a personalized shopper experience.

Streamline the path to purchase with AI-driven ecommerce merchandising software for personalization at scale

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Enforce brand priorities using human intervention

Harness your team’s expertise in empowering merchandising teams with control over results, navigation, and page experiences. Encourage business and technical users to apply their knowledge using a friendly, intuitive interface to arrange result assortments and page layouts.

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Assist shoppers by strategically populating and arranging page zones.

Populate the areas on a page your shoppers’ eyes naturally gravitate to with dynamic content that minimizes shopper effort in discovering products across your catalog. Arrange page zones with product spotlights, recommendations, or banners to help shoppers find items that fulfill their shopping goals.

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Boost organic SEO traffic and website range with configurable templates

Expand avenues for shoppers to land on your site by easily creating creative page types and modifying its metadata to align with SEO and education initiatives. Help shoppers land on your site and influence conversion by creatively creating unique pages that showcase tips and inspirations for particular product categories and topics.

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Operationalize facet management with configurable machine learning

Get the right facets that are distinctive to each shopper to encourage engagement and accelerate their path to purchase. Automate facet ranking based on parameters and contexts important to each shopper, by applying signal metadata and shopper insights, across touchpoints.

Explore Lucidworks Fusion

Learn More About Dynamic, Personalized Search Experiences

Dynamic Search

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Intelligent Search

Fusion dynamically searches a website’s indexed content and generates results that are relevant to the query.

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Typeahead

Fusion’s 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.

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Trending

Fusion can increase engagement and conversions by promoting popular or trending topics or products based on real-time analysis of user behavior and preferences.

Dynamic Browse Experiences

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Recommendations

Dynamic recommendations are used to suggest content or products that are similar to those that the user has already viewed or purchased.

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Navigation

Fusion’s search platform uses signal metadata and machine learning algorithms to optimize the navigation experience, including dynamic content, facets and categories.

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Landing Pages

Fusion uses AI and machine learning algorithms to automatically generate or personalize landing pages based on user behavior and preferences.

Explore More key Features

Dynamic landing pages

Set product and content zones on pages and let the platform do the rest so pages update on-the-fly to provide the most engaging experiences.

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Recommendations

Take advantage of multiple out-of-the-box recommendation models to accelerate different portions of the shopping journey and always show the right products at the right time.

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On-site Search

Deploy multiple out-of-the-box recommendation models to accelerate different portions of the shopping journey and always surface the right products at the right time.

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Case Studies

Crate & Barrel

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.

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Lenovo

Learn how Lenovo personalized customers’ search results and improved relevancy with Lucidworks' machine learning capabilities and out-of-the-box tools.

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KUHL

KUHL offers an effortless shopping experience using segmentation and personalization backed by Fusion's machine learning.

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Contact Us

Ready to create better experiences in the moment? Contact us today to learn how Lucidworks can help you gather insights across all your customers’ touchpoints to deliver better outcomes across commerce, customer service, and your workplace.

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