Retailer Engine Recommendations
Today’s shoppers expect more than just transactions—they expect relevance. Our Retailer Engine Recommendations solution empowers you to personalize the shopping experience in real time, increasing conversions, boosting average order value, and enhancing customer satisfaction across digital and physical channels.
Key Features of Our Loyalty Analytics Solution
AI-Powered Product Recommendations
Leverage machine learning to suggest items based on user behavior, preferences, and affinities.
Behavioural Data Integration
Analyze clickstream, cart, and purchase history across channels to create a unified shopper profile.
Real-Time Personalization Engine
Update recommendations dynamically as users browse—no lag, no lost opportunities.
Bundle & Complementary Product Suggestions
Surface “frequently bought together” or “complete the look” style recommendations.
Context-Aware Suggestions
Tailor recommendations based on device, location, time, inventory, and seasonality.
Performance Optimization
A/B test layouts, algorithms, and placements to maximize impact and continuously improve outcomes.
Unique Range of Benefits
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Lift in conversion rates on personalized product pages
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increase in average order value from cross-sell and upsell models
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Engagement with dynamic, personalized homepage carousels
Why Choose Our Retailer Recommendation Solution?
Increase Conversion Rates
Display the right products to the right customers at the right time—turning browsers into buyers.
Boost Average Order Value (AOV)
Encourage larger baskets with smart upsell and cross-sell suggestions based on purchase and browsing patterns.
Enhance Customer Retention
Deliver consistent, engaging, and tailored experiences that keep customers coming back.
Maximize Product Discovery
Promote long-tail, seasonal, or underperforming products through intelligent targeting and placement.
Find out how companies succeed with us:
