Pique Reviews in 2026

Audience

Companies searching for a software solution to provide personalized recommendations for each digital experience

About Pique

We help accelerate your digital engagement and revenue by individualizing each of your customers' experience. Recommendations that are uniquely 1:1 to your users, encouraging them towards conversion through every step of the digital journey. No user is a stranger. Solve the cold-start problem and provide first-time and privacy-inclined users with real-time recommendations. An encompassing digital experience, Pique Personalized Recommendations can be added to all webpages, apps, emails and bots via agile API integration. Be it finding the most beautiful rings, suggesting the most engaging songs, to connecting job seekers with the most relevant opportunities, we are there to serve you and your thousands, or millions of users. Pick what your customers are most likely to buy, and buy again. Even the anonymous or “private browsing” visitors. Present recommendations anywhere with easily integrated scripts.

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Rierino

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Rierino is a next-generation technology developer that leverages low-code/no-code, composable commerce, and embedded intelligence capabilities to allow organizations to rapidly and easily shape their technology. Rierino Commerce platform is a smart headless backend for high-growth commerce designed to support infinite flexibility & scale. With various modules such as product information management (PIM), pricing & promos, search, content (CMS), and journey management, it has a highly extensible structure allowing users to easily add or customize modules through simple configurations. Rierino Core is a smart microservice development platform for digital enterprises targeting the rapid creation of custom solutions. From retail to finance, insurance, telecoms, and government entities, it enables various sectors to accelerate time to innovation across different domains.

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Luigi's Box

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Luigi's Box is a search and discovery solution designed specifically for e-commerce websites to improve the customer experience and achieve desired revenue. Search Recommender Product Listing Shopping Assistant Analytics Through years of operation, Luigi's Box earned several awards. Our advanced features helped companies such as Under Armour, Nespresso and Notino to successfully increase search usage and conversions. Luigi's Box is easy to use and has a user-friendly interface, making it suitable for businesses of all sizes and kinds. We understand that e-commerce businesses have unique needs, and a good product discovery solution should offer a range of advanced features to allow them to tailor the search experience to their specific needs. Luigi's Box offers a quick and easy integration that doesn’t require deep technical knowledge. You need to just paste the tracking script into the header of your web. We also offer various types of implementation to choose from.

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Reccodo

Boost your sales by creating personalized experiences that will turn your users into loyal customers, with personalized product recommendations and search results. Present the most relevant products to your customers based on current and past behavior. Predict possible product combinations and present them as a bundle. Drive higher basket value by automatically providing complementary products to your customers and creating a seamless experience! Present the most relevant products on your search bar and keep your customers engaged with your brand. Our product recommendations can be extended to suggest items as-they-type on the Search Bar. Harness the power of your traffic data and web analytics, tailor the experience of your customers to their needs, engage with them and turn visitors into buyers. We analyze shoppers’ online activity and show you what each customer truly wants.

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Integrations

API:

Yes, Pique offers API access

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Ratings/Reviews

Overall 0.0 / 5

ease 0.0 / 5

features 0.0 / 5

design 0.0 / 5

support 0.0 / 5

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Product Details

Platforms Supported

Cloud

Training

Documentation

Videos

Support

Online

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