Personalized Recommendation
Deliver the right products to the right customers, at the right time, for an unforgettable shopping experience and increased revenue.
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Amidst a flood of online product choices, modern customers expect tailored experiences. Failing to deliver means missing out on valuable opportunities.
Of potential sales are lost because customers can't find what they're looking for.
Customer dissatisfaction, low conversion rates, and lengthy product discovery paths.
decrease in website engagement due to generic offerings.
With vast product catalogs and diverse customer behaviors, delivering truly personalized recommendations is a major challenge for many retailers.
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Our solution leverages cutting-edge AI and Machine Learning to analyze customer behavior and your product catalog, delivering highly relevant recommendations and boosting transaction value.
Multi-Factor Recommendation Algorithms
Combine historical data (previous purchases, viewed items), real-time behavior, and product attributes to present the most accurate and relevant recommendations.
Increased Basket Value & Product Discovery
Intelligently suggest complementary items (cross-sell) or better versions (upsell), while also introducing customers to new, relevant products they might not have found on their own.
Personalized Customer Experience Across the Journey
Apply recommendations at various touchpoints—homepage, product pages, shopping cart, email, and ads, creating a cohesive and engaging shopping experience.
The implementation of our personalized recommendation solution has proven to generate significant increases in customer engagement and sales metrics across Retail & eCommerce.
Let PERURI Graph help you unlock the true potential of your data.
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