Problem
Many patients in Eastern Europe face situations where prescribed medications are unavailable or hard to find. This leads to disrupted treatments, an increase in abandoned carts in online pharmacies, and a lower average order value. For healthcare product companies, this means losing clients, declining loyalty, and missed revenue opportunities.
Solution
We developed an innovative medical drug search module with an analog substitution function. The solution is based on big data, artificial intelligence, and annotated medical datasets. The system analyzes prescriptions, suggests available alternatives, and integrates with the client’s application to enable quick ordering. Key advantages of the solution: Automatic analog search when the prescribed medication is unavailable. Reduction of abandoned carts and increase in average order value. Easy integration with mobile and web applications. Architecture based on Python, REST API, Angular, AWS, Terraform, PostgreSQL, ElasticSearch. High security standards: ISO 27001, ISO 9001, GDPR, HIPAA. Scalability and reliability through cloud infrastructure. MVP developed in 3 months, full launch in 6 months.
Result
The implementation significantly improved the performance of the client’s application. Up to 80% of users actively adopted the search module, which drove a sharp increase in online orders and higher customer satisfaction. Implementation results: Growth of online orders: +213% in the first two months. Increase in average order value through analog substitution. Reduction in abandoned carts. Greater customer loyalty and trust in the service. Fully integrated and scalable module. The solution became a growth driver for the healthcare company, allowing it to strengthen its market position and reassure patients that even in times of drug shortages, their treatment would not be interrupted.