Case Study: Nahdi Medical achieves stronger customer loyalty and churn prediction with Oracle Retail Science Cloud Services

Al Nahdi leverages Oracle Retail Science Cloud Services to identify revenue opportunities and reward customer loyalty

Nahdi Medical, a Saudi Arabian pharmacy retailer serving 85 million customers annually across 125 cities, needed a better way to understand customer churn and uncover revenue opportunities as it scaled. It turned to Oracle Retail Science Cloud Services and the Innovation Workbench to build marketing analytics and predictive models that could connect customer engagement with campaign effectiveness and loyalty.

Oracle implemented a cloud-based data science platform with AI and machine learning, including tools like advanced clustering, customer segmentation, decision trees, and demand transference. The result was faster innovation, less manual analysis, and better targeting of email campaigns and offers; Nahdi can now measure churn probability, improve retention efforts, and optimize store traffic, basket size, and customer loyalty.

Nahdi Medical