Synerise is a Polish technology company developing its own AI-powered customer data and decisioning platform. Organizations use it to collect, analyze, and activate behavioral data in real time, enabling personalized customer experiences and automated decision-making across digital and physical channels.
The platform creates unified customer profiles by gathering data from multiple touchpoints in real time. Based on this information, Synerise delivers personalized product recommendations, context-aware communications, and automated customer journeys that improve customer engagement, conversion, and long-term loyalty.
Synerise helps retailers and e-commerce businesses increase revenue, customer engagement, average order value, purchase frequency, and customer retention while reducing churn and operational costs. The platform supports both online and brick-and-mortar commerce, enabling consistent, personalized experiences across all customer touchpoints. Beyond retail and e-commerce, Synerise is also used by organizations in industries such as banking, telecommunications, and financial services.
More than 200 enterprise organizations across 49 countries use Synerise, including leading retailers and global brands such as Carrefour, IKEA, H&M, CCC, Żabka, Pepco, Decathlon, Empik, Nike, Samsung, Hugo Boss, New Balance, Crocs, Coca-Cola, and Škoda.
Deliver highly personalized customer experiences powered by real-time behavioral AI. Synerise enables dynamic, context-aware interactions across every customer touchpoint, helping increase engagement and conversion.
Recommend the right products at the right time using real-time behavioral data and AI. Synerise helps increase product discovery by up to 42% while growing average basket size by up to 30%.
Build long-term customer relationships with AI-powered personalization, loyalty programs, and omnichannel customer journeys that improve retention and encourage repeat purchases.
Deliver the most relevant promotions to every customer based on their behavior, preferences, and purchase intent. Synerise helps increase promotion conversion by up to 55% while reducing unnecessary discounting.
Built on proprietary AI models and database technology, Synerise delivers enterprise-grade performance, security, and real-time decisioning while maintaining full control over customer data.
Process customer events and make AI-powered decisions in real time. Synerise enables sub-millisecond recommendations and real-time personalization at enterprise scale.
Getting started with Synerise typically begins with a consultation with the Synerise team or one of its implementation partners. During this stage, your business goals, industry, and use cases are discussed to determine how the platform can best support your customer engagement and business objectives.
Once the scope of the project is defined, the appropriate commercial and implementation agreements are established. Depending on the complexity of the project, you’ll work with Synerise’s implementation specialists and solution architects to configure the platform, integrate your data sources, and complete the onboarding process.
For retailers and e-commerce businesses, product catalogs can be synchronized with Synerise using XML product feeds or other supported integration methods, depending on the implementation. Product feeds should comply with Synerise’s catalog specifications regarding structure, availability, and update frequency.
Mulwi simplifies this process by generating and maintaining a Synerise-compatible product feed for your Shopify store. The platform also offers AI-powered tools to help optimize product titles, descriptions, and other catalog attributes for better merchandising and product discovery.
Once your product feed is connected to Synerise, it can be updated automatically according to your preferred schedule, ensuring your catalog data remains accurate and up to date.
Whether you’re launching a new Synerise implementation or optimizing an existing one, Mulwi helps streamline catalog synchronization, allowing your team to focus on delivering personalized customer experiences rather than managing product feeds.
