The Good Tech Companies - How Maruti Techlabs Simplified Medicare Policy Sales for HealthPro Insurance, Cutting Processing Time by 50%

Episode Date: February 24, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/how-maruti-techlabs-simplified-medicare-policy-sales-for-healthpro-insurance-cutting-processing-time-by-50percent. Maruti Techlabs automated policy data management for HealthPro Insurance, improving efficiency, reducing manual effort, and enhancing data accuracy. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #frontend-development, #insurance, #automation, #workflow-automation, #backend-development, #qa-testing, #maruti-techlabs, #good-company, and more. This story was written by: @marutitechlabs. Learn more about this writer by checking @marutitechlabs's about page, and for more stories, please visit hackernoon.com. Maruti Techlabs automated policy data management for HealthPro Insurance, improving efficiency, reducing manual effort, and enhancing data accuracy.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. How Maruti Tech Labs Simplified Medicare Policy Sales for HealthPro Insurance, Cutting Processing Time by 50% by Maruti Tech Labs. Hash Hash Expertise Delivered Front-End, Back-End and QA Industry. Insurance The Client, Our Client, HealthPro Insurance, ranks among the top 5 Medicare insurance brokers in the United States. Certified by HealthCare.gov, they specialize in offering guidance with affordable health insurance and support for dental, vision, and long-term life insurance.

Project Scope Our client employed agents to sell its policies like any other insurance company. The policies are sold and managed through a government-approved website. Our client had to manually refresh each agent's record, export the files to the admin account, and upload them into their CRM software daily, a highly inefficient process. This highly time-consuming process required an automated solution to reduce their manual efforts in collecting and uploading their everyday agent's sales records to their CRM. The primary objective

of this project is to introduce automation to free up valuable resources and time with policy data management. Subsequently, it would also enhance the efficiency and accuracy of customer data within our client core. The challenge, uploading customer data to the CRM manually took 10 to 12 hours, leading to missed Duplo ads and technical issues. The process also observed compromises due to technical problems and human errors. Such mishaps prevented the latest customer data from reflecting on client-facing portals, negatively affecting the company's reputation and increasing the churn rate. Additionally, for instance, if a single webpage listed listed 100 agents and there were 40 web pages,

hitting the refresh button for all 100 agents on a single page could cause the site to malfunction. Our client wanted to address the following challenges and roadblocks hindering their data management process. Significantly reduce the total time to migrate customer data to the CRM. Eliminating the agent's time invested in conducting repetitive tasks that could have been utilized in selling policies. Mitigate errors while refreshing the agent data tab, such as 429 rate limit or unable to load page. Why Maruti Tech Labs? Our client had previously partnered with Maruti Tech Labs to migrate their services from the public to the private cloud to improve their servers and databases stability and security. Furthermore, a consultant recommended us after observing that we had developed a similar solution for one of our other clients in the same industry.

They recognized our expertise in scalable cloud infrastructure and customized software solutions and collaborated with us to optimize their insurance processes. Building on our successful track record and the endorsement of a trusted consultant, the client chose to extend our partnership for another project. Solution. Our client's primary objective was to refresh the payment column for different agents from the admin login. To achieve this goal, we created a Selenium script that would log in through the admin's credentials and refresh each row that doesn't reflect the status as of today. The script will scrape data from the website, select a date range for which it needs to export data and send it to the admin email. The records will be exported in a CSV file. Our implemented script will then download and upload the customer records to the VTiger CRM.

All the records can be migrated to our client's CRM daily, weekly, or monthly, as they require. To design a cost-effective solution, we implemented AWS Batch as a service, where each script runs independently but simultaneously. Once it concludes its execution, the AWS Batch stops, saving money. We have established an ongoing partnership with our client. In addition to the script implemented above, our experts have brainstormed ways to enhance the solution's effectiveness. Our strategic executions for future enhancements include script automation. We plan to introduce automation as the script needs manual activation. Memory function. This would allow our script to

begin execution exactly where it left off if it breaks due to issues like 429 rate limit or page not loading properly. Single quote dot preset script termination. This feature automatically stops executing all scripts at a predetermined time to avoid logging issues. Data metrics dashboard. Our client could observe daily, weekly, and monthly sales data and reports in real-time communication and collaboration. To optimize the execution of this project and ensure timely delivery, we deployed a dedicated team comprising one back-end developer, one quality assurance engineer, one DevOps engineer. We extensively communicated with our client's chief of sales throughout the project, using various platforms for timely communication. Slack, quick communication, Google Meet, daily updates and queries,

Zoom, weekly rollouts, Gmail, official channel to share contracts, weekly updates, and more. Jira, project management and issue tracking, Confluence, assembling plans and documents behind the solution, technology stack, result. Our solution significantly improved our client's policy data collection process. Here are some significant benefits they observed. The real-time status of policies in the CRM is now readily available. We maximized agent productivity in customer outreach and sales by automating clerical work. CRM record updates are now completed 75% faster. Automated scripts have significantly enhanced customer data accuracy and eliminated the risk of duplication. Timely access to customer data

has prevented business loss, thereby increasing customer satisfaction. Significant cost savings have been achieved through a WS batch as a service. Backslash. Maruti TechLabs' collaborative efforts have successfully streamlined our client's customer data collection process. As we continue our ongoing partnership, we remain committed to further optimizing operations and driving continued success. Our development process. We follow Agile, Lean, and DevOps best practices to create a superior prototype that brings your users' ideas to fruition through collaboration and rapid execution. Our top priority is quick reaction time and accessibility. We really want

to be your extended team, so apart from the regular meetings, you can be sure that each of our team members is one phone call, email, or message away. Thank you for listening to this Hackernoon story, read by Artificial Intelligence. Visit hackernoon.com to read, write, learn and publish.