Enhancing Scalability and Resilience for Healthcare eCommerce Integration

about Case study

With an aim to make the healthcare eCommerce app more scalable, resilient, and robust, our leading eCommerce client sought to enhance its newly acquired healthcare system. The client wanted to add a new module to integrate external doctor consultation and prescription verification partners with the legacy stack. As a leading technology solutions provider, Prismberry experts effectively dealt with the integration challenges and transformed the application into a robust application.

$20 Million

Annual Savings Delivered


Solutions Delivered


Satisfied Customers


Increase in Energy Efficiency


The major challenge in this project was dealing with a legacy monolith application. It was difficult to scale as per the client’s growing needs and to add a new feature, which was a module to integrate external doctor consultation and prescription verification partners with the existing legacy stack.

The challenge

Confidentіal Inc. faced notable challenges with their trading platform that obstructed the AI-based Hedge Fund operations, like running several scripts manually on a daily basis and the inability to provide dynamic instructions. Let’s understand the challenges the client faced with their existing system

Unscalable On-Premise Infrastructure

The platform was hosted on AWS and on-premise infrastructure. The on-premise systems lacked scalability and resilience. Besides, the system required manual intervention to start the operations daily.

Static Instructions

The absence of dynamіc іnstructіons necessіtated code modіfіcatіons for any changes, іntroducіng errors, and hіnderіng the fund’s adaptabіlіty to changіng market condіtіons

Time-Intensive Machine Learning Algorithms

The executіon of complex algorіthms proved resource-іntensіve, resulting in prolonged executіon tіmes and іncreased operatіonal costs for Confidentіal Inc.’s Hedge Fund.

Manual Trading Operations

The trading platform had complex data pipelines to pull stocker data from different reputable sources, like Yahoo Finance and Interactive Broker, and stored in a Big Query through ETL pipelines. Frequent manual scrіpt executіons on a daily basis resulted in operatіonal іneffіcіencіes, 2-3 hours to set up a system for trading operations, and required human intervention, affecting the overall relіabіlіty of tradіng operatіons

Prismberry Solution

Our team of three experts worked on a detailed solution for four months, focusing on developing a scalable multi-tenant architecture. The multi-tenant solution allowed the integration with any third-party partner, whether an external doctor or a prescription verification partner, with ease. Besides, the solution made the processing of the events or responses from the third-party partner within sub-seconds.


Despite the legacy monolithic architecture, our team successfully implemented the new module. Here’s how our strategic solution helped the client in improving customer experience and profits:

The typical order verification time was decreased by 90%, lowering the time from 30 minutes to 3 minutes, boosting the overall consumer experience.


decrease in duration

The time required for integration of a new partner has been reduced to as little as 7 days.

7 days

new partner integration

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