Retail & E-Commerce
Personalised Shopping Experience for E-Commerce Platform
Implemented a recommendation engine that increased average order value by 22% and improved customer retention by 18%.
Results
Key Outcomes
+22%Average Order Value
+18%Customer Retention
+45%Click-Through Rate
+$2.1M/yrRevenue Impact
The Challenge
The e-commerce platform struggled with generic product recommendations that failed to reflect individual preferences. Customers frequently abandoned browsing sessions without finding relevant products.
Our Solution
We developed a hybrid recommendation engine combining collaborative filtering with content-based approaches, enriched by real-time behavioural signals. The system personalises product listings, search results, and email campaigns.
Predictive IntelligenceE-CommercePersonalisation
