Recommendation Engines

Make personal product recommendations and provide a greater user experience.

Implement a product recommendation strategy to increase sales conversions via a personalized recommender system.

Reach more customers

Recommendation engines can be used in a wide variety of activities, from initial marketing to final conversions, making it easier for users to find products or services that fit their current needs.

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Increase user engagement

An AI recommendation engine improves engagement throughout the customer journey through carefully aligned recommendations and prompts. Personalize all digital channels providing a consistent customer experience.

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Increase purchases & subscriptions

Improve conversions by perfectly matching your offer to each individual user.

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Effective cross-selling and up-selling

Recommendation engines can add complementary products or more expensive alternatives to increase shopping cart size & value.

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Effective promotion of best sellers and new products

Thanks to recommendation engines, you are able to propose the best-selling products, check customer reactions to new products and update recommendations in order to adapt to changing preferences.

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Improve the effectiveness of marketing communications

Respond to customer needs in real time, optimizing and tailoring marketing communication to your current needs.

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AI recommendation engines create demand before customers know they want it.

Today, an individual and personalized approach to each customer today is a basic expectation. Users are much more likely to interact with brands that fit their current needs, and personalization is the perfect tool to build the best experience possible.

An AI recommendation system enables you to reach customers more effectively, better serve a product or service tailored to their current needs, and even adjust the order in which products are displayed to the user. Thanks to the use of dynamic product lists, all contact points in the customer's path can be personalized. Working in harmony, product, service and content-based recommendation tools respond directly to buyer needs in real, leading to a completely unique shopping experience.

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Maciej Pondel

Data Science Leader

A graduate of Computer Science at the Faculty of Computer Science and Management of Wroclaw University of Technology. Maciej is also a Doctor of Economics and a lecturer in the Department of Business Intelligence in Management at Wroclaw University of Economics.

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Recommendation engines improve the entire funnel, from acquisition to engagement and conversion. Get in touch and we’ll show you how!