Case Study: MyWelltality - Personalized Wellness Management Platform

Background

MyWelltality is seeking to enhance its operational efficiency and customer experience by hiring Asheon to develop a comprehensive test management and lightweight Customer Relationship Management (CRM) system. This solution will streamline processes from test kit creation through to report delivery, ensuring smoother coordination between internal operations and customer interactions.

As a small-scale CRM, the system will track customer interactions, test progress, and any additional services, such as dietitian consultations. This functionality allows MyWelltality to maintain a seamless and personalized relationship with its customers, from initial purchase to post-test support.

Designed with scalability in mind, the system will allow for future expansions, such as smart reporting and product upsell opportunities, ensuring that MyWelltality can continue to evolve its offerings while maintaining efficient operations. This proposal outlines how Asheon will develop a tailored system to meet MyWelltality’s current needs and future growth.

Challenges

1. Complex Workflow Automation

The diagnostic process involved multiple steps—from test kit creation to report generation. Automating these workflows while maintaining flexibility and accuracy was a significant challenge.

2. Seamless API Integration

Integrating Third Party’s API posed compatibility issues with the existing system architecture, requiring efficient mapping of data formats and testing for performance under load.

3. Report Generation

One of the significant challenges was the requirement to generate and deliver diagnostic reports without utilizing cloud storage solutions like Amazon S3. This imposed constraints on resource usage, file handling, and delivery mechanisms, particularly as the platform needed to scale to handle a growing user base and large volumes of reports.

Objectives

checkBuild a scalable platform capable of supporting MyWelltality’s expanding user base.

checkCreate an intuitive user interface with personalized dashboards.

checkEnsure seamless integration with third-party health devices and APIs.

checkImplement stringent security and compliance measures for user data.

Approach

1. Secure and Scalable Architecture

The diagnostic process involved multiple steps—from test kit creation to report generation. Automating these workflows while maintaining flexibility and accuracy was a significant challenge.

2. API Integration Best Practices

Integrating Third Party’s API posed compatibility issues with the existing system architecture, requiring efficient mapping of data formats and testing for performance under load.

3. Efficient Report Generation

We optimized the report generation process to consume minimal server resources. This involved:- Using lightweight libraries (e.g., PDFkit or Prawn for Ruby) for creating reports.- Compressing images and assets embedded in the reports to reduce file sizes without compromising quality.- Load testing was conducted to ensure the server could efficiently handle concurrent requests for report generation and delivery.

Results

check Optimized Resource Usage for Report Generation: By leveraging lightweight libraries and generating reports in memory, we minimized CPU and memory consumption during the report creation process. This approach ensured the system could handle large-scale report generation efficiently without overburdening server resources.

check Flexibility for Future Growth: The optimized design of the report generation process allows for easy adaptation to future requirements, such as enhanced report customization or increased user demand. The system's scalability ensures it can grow alongside the platform’s success.

checkSeamless Integrations: Successfully integrated third-party health APIs.

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