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  • 4.7 / 5.0 (3244)
    96+ References
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preezie Case Studies

  • How Clothes 2 Order increased conversions by 246% in 36 hours

  • Guitar Center empowers customers through individualized experiences

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    4.7 / 5.0
    Customer References96 total
    About

    Lucidworks is shaping the future of digital experiences, AI, and machine learning by reimagining the power and value of cognitive search to create all-new, human-centered experiences. They help companies deliver breakthrough search experiences that transform business and user engagement through an empowered, ambitious team. Fusion, Lucidworks'​ advanced development platform, delivers enterprise-grade capabilities that power the design, development, and success of intelligent search apps at any scale. With technology built on Solr, the global search standard used by 90 percent of Fortune 500 companies, their team includes leading search and discovery contributors and committers as well as many of the world's foremost search and machine learning innovators.

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    4.7 / 5.0
    Customer References19 total
    About

    MakerSights is the product decision platform powering nimble, resilient retail brands through consumer-led collaboration. Instead of making inventory bets of more than $1 trillion each year on past performance trends and intuition alone, MakerSights centralizes the data, feedback, and workflows required for brands to identify winning products and increase margins — while creating products their consumers love. Before a single sample is created, brand teams make critical product line decisions directly in MakerSights with the information they need at their fingertips.

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    Customer References12 total
    About

    Recolize is a company based in Munich, which is characterized by a high quality standard in product development and a consistent perspective on the user's needs. The idea of founding Recolize had Michael Stork who gained the experience in his jobs as Head of Software Development at maxdome and CTO at ePetWorld that complex technical products have to be directly understood by technical laities for a successful integration.

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