AI Recommendation System - Hyper-personalisation is now.
Hyper-personalise customer experience
Hyper-personalisation isn’t the future—it’s happening now. It’s how you get your most wanted goods, or someone receives a great offer from their own bank, before they even know they wanted it. The AI recommendation system utilises advanced analytics and machine learning to analyse customer behavior, build smart segments of audiences, and assess preferences and transaction history in real-time. By leveraging a BPC AI tool, build insights into users purchase history, demographics, preferences, and real-time behavior, tailor every customer journey, optimising layouts, offerings, and experiences to align seamlessly with individual needs.
Set Performance to Smart
Our Recommendations system is designed to handle and process vast data sets across multiple languages, currencies, payment types, channels and geographies. Seamlessly process data to deliver accurate recommendations for your customers and discover new user patterns for yourself. Leverage advanced tools and pre-built recommendation templates. Build and implement dozens of powerful, customised strategies to maximize efficiency and drive impactful results.

Integration across multiple channels
Embed recommendations module effortlessly for your purchase form, website, mobile banking apps, chatbots, wechat, whatsapp.
Recommendations reports and analytics
Gain a comprehensive performance overview with detailed recommendation reports, delivering actionable insights and in-depth analytics.
Deploy anywhere
Designed with flexible, open architecture, the module is fully agnostic and compatible with all digital and payment platforms.
AI Recommendation system
Making a difference
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Contextual data for profitable recommendations
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CRM, loyalty, and in-store data integration
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Support of large, complex data sets
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Time-saving built-in recommendation templates
Working for you
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Deployment across business channels
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Smart Segmentation
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Customisable algorithms for unique needs
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Collaborative, content-based, and hybrid filtering
Working for your customers
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Hyper-personalised recommendations
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Exceptional experiences across digital channels
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Relevant product suggestions based on behavior
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Real-time insights to anticipate customer needs