Maruti Techlabs

In the advertising world, managing ad campaigns across various channels was cumbersome and mostly manual. Our client, Buzzz Media, came up with the idea of building an automated media management SaaS platform for end-to-end management of advertisements. They hired freelancers to get started with product development. But the project was deserted as soon as it began due to a conflict of interest between the founders and developers. Our developers stepped in at the right moment and helped Buzzz Media see the product to the finish line. Check out how we picked up a half-baked product with broken lines of code and turned it into a functional one - ready to go live.

Our client is a leading Business Intelligence (BI) platform that helps companies track, visualize, and manage their data. Based out of Berlin, they help their clients understand their businesses and drive growth by uncovering insights hidden in their data. As our client’s data analytics and business intelligence platform expanded in terms of popularity and user base, underlying unoptimized code and legacy features brought the platform’s inefficiencies and poor performance to the surface. The client realized that the platform’s inefficiencies were causing users to drop out sooner, negatively affecting customer journey and business performance. Structural improvements, expediting platform speed, redesigning the pages, and creating streamlined workflows were some of the heavy-duty tasks that the founders of our client outlined to improve their platform. The collaboration between Maruti Techlabs and our client helped bring to life what the client had envisioned for the product. Structural improvements, redesigning legacy features, and compatibility enhancements not only greatly improved the user experience of the product but also set a strong foundation for the new features and the future product roadmap. Our developers complemented the client’s existing team exceptionally well. The client had total control over the extended team’s workflow and task allocation. Speedy onboarding and direct communication propelled agility, level of engagement, and ease of collaboration. Maruti Techlabs continues to work with this client as their software product development team. The partnership has been going strong for a year now, and we hope our client continues to grow and scale greater heights.

The client has a SaaS platform that provides AI-based analytics to identify sales opportunities for industrial OEMs (Original Equipment Manufacturers). They empower partner OEMs to have a consolidated and transparent view of their installed bases. Maruti Techlabs was roped in to help them build the mobile app, which would form a key part of their service offering. We set out to build a responsive UX in order to facilitate real-time updates & faster CX. As a result - - Due to the contractors receiving instant push notifications, the number of missed requests for reinstallations and replacements has been reduced to zero. - The app has a minimalistic and simple design so that it is easy to use and convenient. - With a dedicated team to the project, we provided a faster pace of development as the in-house team lacked time and expertise. - Real-time updates from multiple ERPs and CRMs are consolidated on the dashboard in one place. - OEM partners of the client are now always on top of the developments on the installed bases. - The client has reported an overall improvement in customer service due to transparency in data.

Our client is one of the largest healthcare service providers in the UK. They manage thousands of hospitals and care units providing healthcare to the people of the UK. Apart from multispeciality hospitals, diagnostic clinics, and pharmacies are also managed by our client. They make healthcare services more efficient and accessible. Our client is responsible for the smooth working and data management of thousands of hospitals and clinics across the UK. The doctors working at these hospitals and clinics would generate hundreds and thousands of discharge, referral, and follow-up letters daily for patients across each medical facility. To maintain patient records, data teams of our client would have to manually assess, classify, and update the data from these diagnosis letters into specific categories of: Discharge Follow-ups Referrals Due to the high volume of letters, a sizable team was deployed to analyze these letters and manually classify them into the central Hospital Information Management System (HIMS) of our client. Manually feeding and categorizing the data into the systems was time-consuming and resource-expensive. It also had a high chance of errors/discrepancies. Looking at the massive volume of letters to be read and manually classified, Maruti Techlabs designed a machine-learning model that would automatically extract the data from the letters and classify them into the 3 set categories without any human intervention. Initially, the confidence score was 80% at the time of model deployment. It was then followed by 85% with over 6 months of supervised training. Check how implementing the machine learning model helped our client get a 93% increase in patient data management accuracy in detail: