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Established Quality Assurance Center of Excellence for Automotive Software leader

QACoE, Software Engineering /

Adroitent’s Quality Engineering Services established and set up a Competence-driven Technology Practice – Quality Assurance Center of Excellence(QACoE) for an Automotive Software Leader in the US. Key Business Outcomes Enabled 20-30% cost savings with early detection of defects across SDLC Accelerated time-to-market by 10% Improved customer satisfaction significantly About the Customer The customer is a technology-enabled automotive leader that brings dealers and consumers together across North America with cutting-edge software products for car dealers. The customer’s all-in-one software for dealers includes trade-in valuations, payment calculators, digital brochures, videos for sales teams, service departments, and other service offers. Customer Challenge The customer faced critical challenges with their software as their time-to-market was largely delayed with bugs identified in production and they did not have an effective quality assurance (QA) practice within their system. Their software releases were delayed due to defects and issues identified and had no proper QA in place to effectively verify and validate their software. The existence of issues impacted their dealers and other prospects and adversely affected their business bottom line. Solution Delivered Adroitent partnered with the customer to establish and manage an end-to-end Quality Assurance Center of Excellence (CoE) as a part of establishing a Competence-driven Technology Center of Excellence (TCoE). Adroitent’s team established a centralized hub to standardize, improve, and oversee quality practices across the customer’s projects to ensure best quality assurance practices are adopted to enable high-quality solutions. Solution Highlights Adroitent’s quality assurance (QA) team established a Quality Assurance Center of Excellence by setting up a testing practice that helped the customer to continuously improve its quality assurance process, reduce defects, and increase the quality of deliverables, thus achieving quicker time-to-market and quicker ROI. Technology Leveraged The technology leveraged included JIRA, Playwright test automation tool, and X-ray for test management. Activities taken up as Part of establishing Quality Assurance Center of Excellence (CoE) Deployed Adroitent’s core team: The Adroitent’s core team involved in this project consisted of the Delivery Head, Project Manager, Test Lead, Test Engineers (Manual and Automated), and Business Analyst. Leveraged Automation tools and technologies: Adroitent’s QA teams leveraged the technology stack that included Typescript – Playwright automation tool, Jira, X-ray for test management, and Confluence to ensure seamless testing of the modules. Established reusable test document repository: QA teams enabled effective documentation, developed test plans and procedures, and adopted best QA practices. The reusable test assets created were test cases, automation scripts, and various other test templates to ensure quicker and faster testing outcomes for the customer. Developed a comprehensive test automation framework: The process included Test planning and design, Test case creation and maintenance, Test execution and reporting, and Test data management. Adroitent’s QA teams adopted some key considerations for automation testing that included prioritization of test case selection, effective test data management, Test environment setup, Test reporting and analysis along with effective maintenance and optimization.  Established scalable quality assurance processes: Enabled functional testing for the customer. We performed reviews to ensure a seamless quality assurance process. Teams performed Defect Management to identify processes for identifying, tracking, and resolving defects. Enabled seamless reporting and analytics: Teams were involved in reporting dashboards and also enabled real-time views of quality metrics, defect trends, and test coverage. The detailed reports on quality performance were shared with the product owner and stakeholders and provided effective data-driven recommendations for QA process improvements. Adopted a process of continuous improvement: QA teams regularly assessed the CoE’s performance and identified opportunities for improvement. Teams ensured to stay updated with the latest testing trends and technologies to enable effective outcomes for the customer. Adroitent also conducted regular training and skill development programs for its team members. Business Outcome Teams identified defects at an early stage and the %Defect Rate on average was 31% thus reducing the overall costs by 20-30%. Production defect slippage was reduced significantly for critical and high-severity defects. Ensured better test coverage: QA teams created more test cases to ensure superior and better test coverage. This led to fewer defects and avoided repetitive work at later stages, ensuring enhanced customer satisfaction with a fully functional product. Enhanced efficiency and overall productivity: QA CoE helped to streamline processes, workflows, and resources, which enhanced efficiency and overall productivity. The customer had fewer production issues and other quality issues, leading to lower costs, and higher productivity, helping them gain a better market position. Improved customer satisfaction: QA team identified tricky bugs in mobile apps and effective use cases were written and tested for both iOS and Android. The QA team approach focused more on Smoke tests which helped to find more bugs apart from the tickets and supported infra execution through automated test cases that improved customer satisfaction significantly. Accelerated time-to-market by 10%: Adroitent’s QA CoE establishment helped to provide high-quality products to market by identifying and resolving show-stopper issues at an early stage during the agile development, thus accelerating time-to-market by 10%. Reduced costs and risks: QA CoE teams helped the customer to minimize the defects and ensured no re-work which reduced costs and risks significantly. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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Helped a healthcare wellness provider with Analytics platform using Ruby on Rails

Ruby on Rails, Software Engineering /

Adroitent’s Product Engineering services helped a healthcare wellness provider with an integrated platform focusing on predictive analytics to help prevent and manage chronic diseases in the early stages. Key Business Outcomes Accurate prediction of chronic diseases in early stages Integrates with multiple healthcare providers and centers Helps to quantify organizational health About the Customer eKincare is a startup in the Indian healthcare environment – wellness focusing on providing predictive analytics to prevent and manage chronic diseases in the early stages. They provide effective predictive analytics for users when they upload their diagnostic reports. The information would be further analyzed to predict the user’s risk of getting chronic disease or chances of getting any other complications in the near future.  Also wellness programs are suggested to improve and maintain the users overall health. Customer Challenge The customer needed a comprehensive solution that not only allowed predictive health management but also integrated seamlessly with different service providers and diagnostic labs. The customer needed scalable and flexible solution with seamless integrations to multiple healthcare systems. Further, the solution was also needed to quantify organizational health and digitization to benefit employees,  and healthcare professionals. Solution Delivered The customer partnered with Adroitent to build a state-of-the-art integrated healthcare wellness solution that allows users to enter their vital signs and diagnostic reports data and provides related analytics. The platform is integrated with various labs and diagnostic centers, enabling users to conveniently book tests and appointments. The patients get to view and understand the trends in their health patterns as the values are projected in a graphical way and can be easily understood by users. They could also avail the recommended wellness programs from the relevant service providers. The platform can be used by individuals or by organizations who can make it available to their employees for better health management. Solution Highlights Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture to handle large volumes of health data while ensuring faster processing and effective analytics. Designed intuitive workflows: Enabled intuitive workflows within the system to ensure users with effective health monitoring and predictive analytics predictions. Mobile enabled: Delivered user-friendly mobile applications for both Android and iOS platforms, ensuring users can access healthcare services on the go. Design, architecture and development: Teams were involved in designing and development of the actual architecture for the healthcare portal. End-to-end testing: Conducted extensive testing to ensure optimal performance, security, and reliability of the solution across all workflows. Technology stack leveraged The technology stack used was Ruby on Rails, Python, React.js, JQuery, Android, iOS, Postgres, AWS, Elasticache, NGINX, and Heroku Cloud. The deployment architecture consisted of hosting on AWS private cloud, ISO 27001cettified information security standards, high availability with multi AZ-disaster recovery, and highly secure architecture with DMZ and VPC with intrusion prevention system. Features Developed Plugin-based architecture: Developed a highly configurable healthcare platform using a plugin-based architecture, which ensures scalability and allows easy customization based on the organization’s requirements. Integrations with multiple service providers: The platform connects users to a wide range of labs, diagnostics centers, and other healthcare providers, giving them the flexibility to choose services that best meet the user needs. User-friendly interface: The solution’s user-friendly interface provides clear, color-coded test results, graphical history, and clickable timelines to the users. Integration with EMR systems: The solution ensures healthcare providers can quickly view, manage, and analyze patient data in real-time with its seamless integration with EMR systems. Business Outcome Helps to implement targeted healthcare initiatives: The predictive data of an organization can be used to identify areas for improvement and implement targeted healthcare initiatives of its employees. The platform allows organizations to improve the health of their employees, offering a holistic view of organizational well-being. Enables proactive management: The platform uses advanced AI algorithms with digitization to analyze health data, enabling organizations to measure their employees’ health status and identify patterns or trends for proactive management. Generates health projections for patients: The patients get to view and understand the trends in their health pattern as the values are projected in a graphical way and easily understood. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

Helped a healthcare wellness provider with Analytics platform using Ruby on Rails Read More »

Helped a Fintech lender in the US with a Loan Processing Financial Solution using React.js

React.js, Software Engineering /

Adroitent’s Product Engineering services helped a leading Fintech lender in the US with an Effective Loan Origination and Processing Financial Solution. Key Business Outcomes 90% increase in student engagement Average loan processing time was reduced significantly Enhanced student and customer satisfaction significantly 30% reduction in operational costs About the Customer The customer is a technology-enabled fintech lender headquartered in San Francisco, California that offers tertiary education financing products, including student loan refinancing and private student loans. They offer low-interest loans based on the student’s unique financial profile, including student loan refinancing, private student loans, and personal loans assuring low interest rates. The company empowers past, present, and soon-to-be graduate students to maximize their financial futures through thoughtful guidance and impactful financial products and solutions.  Customer Challenge The customer faced several critical challenges with their legacy loan origination system which included: Cumbersome process: Manual data entry and cumbersome paperwork. Lengthy application processing: Multiple layers of verification lead to longer processing times and dissatisfied customers. Lack of digital experience: Students seeking loans encountereda cumbersome online experience that did not align with fast-paced digital expectations. Regulatory and compliance risks: The customer’s existing system had compliance and risk management issues that required compliance with changing regulatory requirements. High operational costs: Manual interventions at multiple stages of the loan process, increased the operational costs and risk. In order to overcome the above stated challenges, the customer needed a digital savvy loan origination and loan processing financial solution to deliver seamless experience to its students and others. The customer aimed to make their loan services faster, transparent, and more accessible to students and their families, while ensuring compliance with regulatory requirements and improving productivity. Solution Delivered Adroitent partnered with the customer to implement a comprehensive Student Loan Origination and Processing Financial Solution. Teams leveraged advanced financial technology, automation, and cloud integration specifically designed to streamline the entire loan lifecycle. https://adroitent.ai/wp-content/uploads/2024/11/Earnest_Fintech_Loan_Transformation_compressed.mp4 Solution Highlights Architecture and design: Adroitent’s team developed a scalable, efficient, and secure architecture. Teams were involved in the architecture design and development of an effective loan origination and processing financial solution. Database design and implementation: A robust database system was developed to handle complex data securely. Quality assurance: QA team conducted testing to ensure optimal performance, security, and reliability of the solution across all workflows. Build, release, and deploy: Implemented DevOps CI/CD pipelines to build and release iterative cycles for timely deployment. Technology stack leveraged The technology stack included Node.js, REACT.js, Cypress automation tool, Jira, Confluence, AWS infrastructure, RDS, and New Relic. Features developed Loan processing automation: Created workflows to automate the entire loan origination process from application to underwriting. This eliminated manual steps, reducing the time from application to approval, and improved the loan processing for students. Document automation: Dynamically generated loan documents based on applicant information and product terms by automating document signing with e-signatures. Workflow optimization: Enabled real-time tracking of application status and automated notifications to stakeholders. Platform digitalization: Deployed a user-friendly platform that provided students and parents with a seamless digital experience. The application was optimized for speed, allowing users to apply, check eligibility, and track application status in real-time. Regulatory compliance: The platform was made compliant with changing regulations, reducing manual oversight for risk and compliance. Self-service capabilities: The platform included a self-service portal where applicants could upload documents, check loan disbursements, and make payments, increasing customer satisfaction. Business Outcome Quickened loan processing: The average loan processing time was reduced significantly improving the operational efficiency and enhancing the customer satisfaction. Enhanced student engagement and satisfaction: The new digital platform saw a 90% increase in student engagement, with most students completing the application process entirely online. Enhanced compliance and risk management: The customer reported fewer compliance issues, reduced risk of fraud, and achieved greater accuracy in risk assessments. Increased operational efficiency: With streamlined workflows and reduced manual effort, lead to cost savings. Improved customer experience: Faster loan approvals with a seamless digital experience improved the customer satisfaction significantly. Cost savings: Automation and reduced manual processing led to a 30% reduction in operational costs, allowing the institution to reallocate resources towards growth initiatives. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

Helped a Fintech lender in the US with a Loan Processing Financial Solution using React.js Read More »

Helped a global BPO leader with a Real-time Agent Tracking System using MS Dotnet

.Net, Software Engineering /

Adroitent’s Product Engineering services helped a global BPO leader with a Real-time Agent Tracking System. Key Business Outcomes Enhanced workforce (agents) visibility & monitoring by 100% Optimized agent performance by 100% Enhanced customer satisfaction significantly About Customer The customer is a global BPO leader in customer support, providing dedicated agents, advanced technology, and customized strategies for innovative brands.  The customer helps to scale and optimize customer experience (CX) through data-driven and brand-specific customer service solutions and has a global clientele. Customer Challenge The customer needed a real-time agent tracking system as they were enabling expansive customer support services to large innovative brands. They needed an effective real-time agent tracking system to boost efficiency, improve service quality, and maintain tighter control over their workforce (agents).  Solution Delivered Adroitent partnered with the customer to develop a real-time agent tracking system that offers many advantages for supervisors, enabling them to manage their workforce effectively. Developing this tracking system significantly improves the supervisor’s ability to manage teams efficiently and improve overall productivity by constantly tracking their activities in real-time. Various features developed help the supervisors to optimize workflows, improve service quality, and maintain high levels of customer satisfaction. https://adroitent.ai/wp-content/uploads/2024/11/INTouch_Real-Time_Agent_Tracking_Freezed_compressed.mp4 Project Highlights Requirement analysis: Adroitent’s team conducted a thorough analysis of the customers’ requirements to ensure the solution met all necessary criteria. Framework development: Developed the core VTV platform framework using ES6 and core JavaScript, ensuring robust functionality and future scalability. Integrated Conviva analytics and Adobe analytics and restructured all files and maintained proper folder structure. SDK integration: Created an SDK that could be easily integrated with existing applications, simplifying the transition for customers. Lite app development: Designed and developed a “Lite App” solution for the customer without their own apps, ensuring quick deployment. Ensured to create new application seamlessly for any new customer. Quality assurance: Performed extensive testing across various devices and TV models to ensure compatibility and performance. Custom attributes and metrics changes were tested and deployed t production server. Deployment and support: Managed the deployment process and provided ongoing support to ensure smooth operation and address any issues quickly. Solution Highlights Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture for the real time agent tracking system. Teams were involved in the design and development of the architecture of a real-time agent tracking system. Database design, architecture, and implementation: A robust database system was developed to handle complex data securely. Quality assurance: The testing was done to ensure the system was fully functional. Technology stack leveraged The technology stack included DotNet core, HTML, Javascript, Entity Framework, SignalR, Postgres, and SQL.  Features developed Live agent status monitoring: Supervisors can view which agents are available, busy, or on break in real time. The system shows agent status and activity they are currently handling; handling a call, resolving a ticket, or engaging in back-office tasks. Real-time agent tracking: Supervisors can track the number of calls an agent handles, along with call duration and outcomes, providing insights into productivity along with their shift start and end listings. Task assignment and completion: Managers can assign tasks dynamically based on the agents’ availability and track their completion in real-time. Agent performance tracking: Supervisors can track each agent’s performance metrics and trends through their shifts, allowing immediate feedback and alignments. Alerts and notifications: The system automatically notifies supervisors when agents are handling too many calls or if service levels are at risk of falling below the set thresholds. Queue monitoring: Supervisors can see the number of callers in queues and adjust resources in real-time to manage high demand. Snoozed agents status: Agents who are on break will be displayed as snoozed users and overshooting of breaks will also be notified to their respective supervisors. Service level monitoring: Supervisors can track if service levels (response times, customer wait times) are being met in real-time, allowing for immediate corrective actions. Performance metrics dashboard: Real-time dashboards show KPIs like call resolution times, customer satisfaction scores, first-call resolution rates, average handling times, etc. Analytics and reporting: Provides reports that aggregate data from agent performance, customer interactions, and call quality to make informed decisions quickly. Supervisors can generate customized reports on various performance metrics, allowing detailed analysis and planning. Business Outcome Enhanced agent visibility and monitoring: Supervisors were able to track agent activities in real-time, which enhanced the workforce visibility and monitoring by 100%. Improved workforce management: Real-time agent availability enabled better task delegation and workload management. The real-time agent tracking system optimized the workforce management leading to a better resource allocation. Agent performance optimization: Supervisors were able to identify bottlenecks or underperforming agents and provide efficient resources for better outcomes. Data-driven insights helped to optimize workflows and improve agent performance by 100%. Improved decision-making: Real-time agent data availability enabled supervisors to make quick, informed decisions, especially during peak times or high-demand situations. The system also helped to assign tasks based on the agent availability and proximity for faster response times which helped in faster decision-making. This real-time data helped to reduce delays, especially in fast-paced environments like logistics, customer service, or technical support. Increased operational efficiency: Supervisors were able to monitor agents’ location, activities, and status in real-time, which ensured tasks were assigned more efficiently and resources were optimally utilized improving the overall operational efficiency. Enhanced customer satisfaction: Faster issue resolution and improved workforce task delegation contributed to higher customer satisfaction. Real-time tracking ensured agents were assigned promptly, reducing wait times for customers enhancing customer satisfaction significantly. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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Empowered a professional services provider with Clinical Decision Support System

PHP, Software Engineering /

Software Engineering helped a leading global provider of professional information and healthcare services with a Clinical Decision Support System Key Business Outcomes Revolutionized Point-of-Care support to healthcare professionals by 100% Improved Patient Outcomes by 95% Quick Access to Information for Primary Care Physicians About the Customer Customer is a global provider of professional information, software solutions, and services for healthcare, tax and accounting, governance, risk and compliance, legal and regulatory, and Environmental, Social, and Governance (ESG) sectors.  The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 21,400 people worldwide.  Business Challenge With over 20 years of knowledge base of best-selling clinical content in the family medicine market, the customer felt a need for an integrated solution that would help as a guide for primary care professionals and clinical students in their daily clinical decision support. The customer required an application to provide integrated clinical decision support for its primary care professionals and clinical students, ensuring quick access to essential information at the point of care to ease patient care decisions and improve patient outcomes. Solution Highlights – PHP and Drupal Implementation After a thorough analysis of the customer requirements, our core PHP and Drupal teams were involved in developing a fully integrated clinical decision support application. Our teams leveraged latest tools and technologies and adopted industry’s best practices to develop the application to provide real-time guidance to physicians and clinical students, for improving patient care outcomes. Project Activities Requirements gathering: Checklists and templates were used to gather requirements keeping in mind the customer needs and objectives. Application design and development: For front-end development the technologies used were PHP, Drupal, HTML5, CSS, and Angular JS/Bootstrap. Custom module development: Various extensions and custom modules were developed to add specific features and functionalities to the application tailored to the needs of clinical physicians. Theming and responsive design: In order to deliver a consistent and user-friendly experience across devices, Drupal theming and responsive design were used. Quality assurance (QA): Various QA testing methods included functional, regression, and performance testing methods to verify and validate the reliability and performance of the solution. Technology Stack NGINX was used as the web server and MySQL served as the database backend for storing and managing clinical content and user data. Drupal CMS was used for theming and responsive design. Tools such as Selenium, nUnit, Git, SonarQube, and Jenkins were used for automated testing, version control, continuous integration, code quality, and deployment. Key Features Developed Search bar on all pages: A search bar was displayed on every page for users to easily search for an intended topic. In the search results page, the user could search for the intended topic thereby enabling quick navigation to the required topic. Share content via email: With the topic-sharing feature developed, the logged users could share the topic content available under multiple categories via email to other users having valid email IDs. Bookmarking and favorites: Users can bookmark their favorite topics and content on the application to view later with this feature. Sort content as per search need: Users will be able to sort the search content based on factors such as relevance, most recent updates, A to Z Alphabetical, and Z to A Reverse Alphabetical orders, thus making the app more interactive to the user. Browse and filter content: Users can filter the search content based on the available categories such as diseases, conditions, lab tests, PT exercises, algorithm charts, etc., and also show all content types based on the user’s need. Sort the disease based on specialty: The specialty listing feature gives the user an advantage to go through the desired specialty and also helps to sort specific diseases belonging to one specialty when the user intends to do so. Business Outcome Enhanced Point-of-Care support for physicians: The app provided quick access to clinical content and decision support tools, enabling healthcare professionals, physicians, and clinical students to make informed decisions at point-of-care support by 100%, easing patient care. Delivered optimal user experience: Drupal theming and responsive design ensured optimal user experience across devices, enhancing accessibility and usability. Improved performance of clinicians: With effective features in place and easy access to clinical decision making at the point-of-care, improved the performance of physicians and clinical students. Improved patient outcomes: The workflow efficiency of clinicians improved significantly with a quick decision support system and improved patient care outcomes by 95%. Connect with us

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Delivered Pet Telehealth Platform to technology services provider in the US using Node.js

Node.js, Software Engineering /

Software Engineering services helped a leading technology services provider to veterinary sector develop a Pet Telehealth Platform Key Business Outcomes 95% Improvement in Pet Primary Care Revolutionized Pet Care with Easy Access to Vets through a Pet Telehealth Platform About the Customer The customer is a leading technology services provider to veterinary sector located in San Diego, United States. The customer serves the needs of veterinary caregivers with the latest technological advances and with innovative systems to deliver services to diagnose, prevent, and treat the majority of pet pathologies, improving the quality of life for pets and pet parents. Business Challenge For pet owners bringing a pet to the veterinarian’s clinic continues to be a challenge with limited mobility, restricted transportation, or commitments that make outside errands and other activities difficult. The customer with an aim to improve the pets and pet parents’ lives, needed a telehealth platform (Android and iOS) to seamlessly connect pet parents with veterinary professionals to improve pet patient health outcomes and ease pet parent’s lives. The customer needed a comprehensive Telehealth solution that not only facilitated remote interactions and chats but also integrated various functionalities to manage appointments, payments, and medical records of pets efficiently. The goal of the platform was to deliver better pet care outcomes and improve the quality of life for pet parents. Solution Delivered After a deep analysis of the customer requirements, Adroitent team was involved in developing a Telehealth platform. By using this Telehealth platform (Android and iOS), vet care becomes easy and convenient for pet parents while not sacrificing the quality of pet care provided. Anipanion is an easy-to-use virtual visit Telehealth platform that allows vets to connect with pet patients conveniently with an anywhere, everywhere approach. This veterinary telehealth platform seamlessly connects pet parents and veterinary professionals through chats and video calls. Project Activities Vision to production deployment: Teams were involved from the visioning of the product, initial requirements gathering and transitioning concept to a fully functional release of the telemedicine platform Architecture, design, and development: Crafted a scalable and secure architecture. Database design, architecture, and implementation: Database teams were involved in establishing a robust database system to handle complex data securely. Comprehensive data integration: Seamless integration of existing pet data in the veterinary clinics with the new system was done Quality assurance: Total quality assurance was implemented with an end-to-end work flow that included data validation and verification to ensure the solution reliability. Build, release, and deployment: DevOps CI/CD pipelines implemented to build and release iterative cycles for timely deployment of the solution. Key performance metrics: Real-time analytics for pet parents and veterinarians were provided to monitor and improve pet care. Support and maintenance of project: Post implementation, Adroitent team provided technical enhancement and support to ensure optimal performance. Agile Methodology: Scrum model was followed in implementing the solution, with two weeks sprint and a working model release every month. Technology Stack   Angular 5.0, Node JS, Express JS, WEBRTC, Google Analytics and Java. Mongo database, web services used were REST API, and mobile platforms were Android and iOS. AWS cloud and Git repository were also used in developing and deploying the platform.  Key Features Developed Remote access: Pet parents were able to access the app to consult vet specialists remotely. Remote monitoring: Vets were able to see the pet’s health through video conferencing,   and prescribe the treatment. Appointment scheduling: Scheduling, rebooking and cancellation of appointments by pet parents through access to the vet’s availability grid. Payment gateway integration: App was integrated with unified payment gateways. Pet parents were able to pay pets’ medical expenses with their credit cards. Secure communication: Access provided to vet healthcare providers through the platform with a secure communication mode. Pet patient records: Vet healthcare providers were able to store, update, and exchange pet patient’s medical data easily and quickly. E-prescription system: Information about previous prescriptions, insurance providers, and pharmacy information could be easily accessed both by vets and pet parents. Business Outcome Revolutionized pet care: The Telehealth platform revolutionized pet healthcare with virtual access and improved care for the pets.  Increased accessibility to pet primary care: Accessibility to pet primary services increased by 95% leading to better health outcomes for pets and higher satisfaction rates for pet parents. Removed waiting times: Waiting times at the hospitals for the pet parents was removed as they were able to access vets from the comfort of their homes. Streamlined prescription process: Easy access to prescription history, insurance, and pharmacy information of pets and their health records was readily available. Eased payment methods: Online payment options helped both the pet parents and vets as online transactions are faster, improving cash flow, and reducing the time businesses have to wait for funds. Connect with us

Delivered Pet Telehealth Platform to technology services provider in the US using Node.js Read More »

Helped a leading partner in the USA with a robust streaming platform using Angular

Angular, Software Engineering /

Software Engineering services helped a leading partner in the USA with a robust streaming platform Key Business Outcomes A versatile streaming platform for Smart TVs and multiple devices A seamless and high-quality streaming experience delivered Enhanced user satisfaction and user engagement by 100% About Customer The customer is a leading partner in streaming profitability providing unified apps in homes across all streaming devices into a single, seamless user experience that increases audience acquisition, engagement and monetization. The customer is headquartered in New York, USA. Customer Challenge The customer needed an effective virtual TV platform having seamless streaming capabilities across a range of smart TVs and devices. Solution Delivered Adroitent developed an effective Virtual TV (VTV) platform, a JavaScript framework designed to provide seamless streaming capabilities across a range of Smart TVs (LGWebOS, Samsung, Vizio) and devices (Chromecast, Roku, FireTV, Xbox). This innovative framework handles casting from mobile apps, auto-installation of apps on Smart TVs and devices, and manages all playback commands, while emitting different playback events from the player. https://adroitent.ai/wp-content/uploads/2024/09/Angular-CS-video2.mp4 Project Highlights Requirement analysis: Adroitent’s team conducted a thorough analysis of the customers’ requirements to ensure the solution met all necessary criteria. Framework development: Developed the core VTV platform framework using ES6 and core JavaScript, ensuring robust functionality and future scalability. Integrated Conviva analytics and Adobe analytics and restructured all files and maintained proper folder structure. SDK integration: Created an SDK that could be easily integrated with existing applications, simplifying the transition for customers. Lite app development: Designed and developed a “Lite App” solution for the customer without their own apps, ensuring quick deployment. Ensured to create new application seamlessly for any new customer. Quality assurance: Performed extensive testing across various devices and TV models to ensure compatibility and performance. Custom attributes and metrics changes were tested and deployed t production server. Deployment and support: Managed the deployment process and provided ongoing support to ensure smooth operation and address any issues quickly. Key Features Developed VTV SDK integration: Integrates with existing TV and device apps, providing flexibility and reducing development time. Lite app provision: Offers a Lite App for customers who do not have their own app, enabling a quick setup that can be operational in a day. Broad device support: Supports a variety of Smart TVs and devices, from legacy models to the latest in the market. Streaming compatibility: Accommodates different streaming formats including HLS and DASH, ensuring versatile content delivery. Content protection: Supports DRM (Digital Rights Management) to secure content and prevent unauthorized access. Closed captions: Provides support for different types of closed captions to enhance user accessibility. Ad insertion: Supports both client-side and server-side ad insertion, enabling flexible monetization options. Technology Stack Leveraged Angular 7, Core Javascript, ES6, CSS, HTML 5, AWS DynamoDB, AWS RDS, AWS API gateway, AWS Lambda, AWS Cognito, Custom analytics, Conviva Neilson, Adobe, Postman, Github, AWS EC2 instances, AWS S3, AWS Cloudfront, AWS Pipeline, AWS Kinesis. Business Outcome Enhanced streaming capability: Provided customer with a robust and versatile streaming platform compatible with multiple devices and TV models. Improved user experience: Delivered a seamless and high-quality streaming experience, enhancing user satisfaction and user engagement by 100%. Improved monetization options: Supported various ad insertion methods, providing customers with flexible monetization options to maximize revenue. Secure content delivery:  Ensured content protection through DRM, safeguarding intellectual property and maintained compliance with industry standards. Reduced time to market: Enabled quick deployment of streaming apps with the Lite App option, reducing the time to market for customers. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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Helped clinical solutions provider with a Medical Record Documentation Platform using MS Dotnet

.Net, Software Engineering /

Software Engineering services helped a leading clinical documentation and document sharing solutions provider to develop a Medical Record Documentation Platform Key Business Outcomes 99% Eased Doctor Dictation Tasks 99% Accuracy in Medical Record Documentation Seamless Integrations with EHRs in Hospitals and Out-patient Clinics About Customer Customer offers clinical documentation and document sharing solutions. They provide clinical information and electronic health record templates. They serve customers throughout the United States. Customer Challenge The customer felt a need for an error-free medical record documentation for doctors and clinicians. Their existing system struggled to integrate comprehensive data from various healthcare facilities leading to fragmented patient records and increased administrative burden on doctors. The customer sought a robust solution to streamline the doctor’s clinical documentation workflow and improve the accuracy and quality of patient records and other patient-related information.Solution Delivered Customer partnered with Adroitent to build a state-of-the-art medical record documentation platform to assist doctors across its outpatient clinics, hospitals, and ambulatory surgery centers to efficiently complete medical record documentation of patients. This platform plays a vital part in the daily clinical workflow for its users due to its essential functionality and integration points into an organization’s clinical systems. The medical record documentation platform translates doctors’ dictations into text through advanced backend editing, ensuring precise patient documentation. Additionally, it offers rhythm jobs for post-dictation editing, allowing doctors to correct errors, if any, directly on their devices (iOS and Android) and submit them to the Electronic Health Record (EHR) system.Solution Highlights Architecture and design: Crafted a scalable and secure architecture to support front end mobile interface with backend processing on web. Database design, architecture, and implementation: A robust database system was developed to handle complex data securely. Comprehensive data integration: Seamless integration of existing system data with the new system was done. Quality assurance: Total quality assurance implemented in end-to-end workflow and data validation and verification to ensure solution reliability. Build, release, and deploy: DevOps CI/CD implemented to build and release iterative cycles for timely deployment of the solution. Key performance metrics: Real-time analytics was provided to monitor and improve doctor’s documentation tasks. Support and maintenance of project: Post implementation, the Adroitent team provided technical enhancement and support to ensure optimal performance.  Technology Stack The technology stack used was .Net Framework, MVC, WCF, Web API, and XMPP. The database used was in-app Swift 3.0/4.0 for iOS apps and SQL Server. The data sources used were REST API, XML, and CSVs. The tools used were QuickBox and Zendesk. Key Features Developed Mobile app syncing: Dictations were supported on both Android and iOS mobiles where the doctor had the patient check-in details referred as a job which was synced to the backend database. The doctor could pick the job, and record the patient health conditions and processes. Secure messaging: The doctor can chat with the doctors/nurses in the clinic with the inbuilt Secure Messaging feature.   Seamless integrations: The solution was made to fit seamlessly into existing physician workflow patterns due to seamless integrations with APIs ensuring no loss in productivity. Information routing: Automatic routing of clinical information with full interfaces eased front-end scheduling along with back-end clinical systems. Work list for doctors: A full interface was developed into the clinic scheduling system for the doctors, providing them the look and feel of an EHR. Doctor’s identity: Providers were not required to identify themselves or the patient, significantly reducing dictation time and clinical errors. Voice recognition: Dictation was automatically sent to data centers for the processing and simple voice recognition created the first clinical draft. Rhythm jobs: Doctors could edit any dictation errors in the device itself and submit them to the EHR system. If they felt too many edits were required, then they could submit for transcription to editors to further edit them. Rhythm jobs were made available for editing after dictation submission. Once edited, the finished work was routed back to the clinic or hospital for automatic delivery to their EHR or data repository. Integration with HL7:  The platform was seamlessly integrated with HL7. Business Outcome Saved Doctor’s time : The platform significantly reduced the time doctors spent on paperwork allowing them to focus more on patient care with streamlined clinical documentation. It helped to ease doctors’ dictation tasks by 99% Accelerated EMR adoption: Helped improve physician satisfaction with accelerated EMR adoption Improved documentation accuracy: Advanced backend editing and post-dictation editing features reduced errors and improved the quality of patient records. It helped to ease doctors’ dictation tasks by 99% and ensured high accuracy in medical record documentation. Improved coordination and eased patient care: Unified and complete patient records with seamless data integration across healthcare facilities improved coordination and eased patient care. Easy adoption for doctors: The platform’s in-depth design and architecture resulted in a user-friendly interface, and made it easy for doctors to adapt and efficiently use the system. Enhanced operational efficiency: Intensive quality assurance and robust architecture ensured the platform’s scalability and reliability, building trust among users and enhanced the overall operational efficiency. Connect with us

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Helped a financial services provider with Auto Refinancing Platform using PHP

PHP, Software Engineering /

Software Engineering services helped a leading financial services provider with an effective Auto Refinancing Platform Key Business Outcomes 90% Improvement in Loan Workflows for FSRs Improved Loan Closures by 90% A Seamless Experience for both Lenders and Consumers About the Customer The customer is a leading financial services company that helps lenders reduce the cost of acquisition and quickly look and pick those consumers who would benefit from refinancing their current auto loans. Business Challenge The customer required a scalable auto refinancing solution to serve its financial service representatives (FSRs) to process and disburse auto refinancing loans quickly and efficiently. The customer also required efficient loan workflows by having seamless integrations with many Third-party APIs. Solution Delivered After a thorough analysis of the customer requirements, Adroitent’s core PHP teams were involved in developing an innovative auto refinancing solution specifically designed to optimize the loan workflow for the customer’s FSRs. Project Activities Requirements elicitation and documentation: Teams were involved in gathering the requirements and documenting them and built the system ground up. Business logic and mockup screens: Detailed business logic was built using PHP source code. Mockup screens were developed with proper screen navigations. Architecture and UI/UX design: Architecture, design, and development of the solution was done with plug-and-play options. API integrations implemented using microservices. UI/UX design and wire frames were also done. Integrations, build, and release: A configurable workflow-based solution was developed with effective build and release management. Teams integrated the customer’s existing platform with strategic 16 third-party APIs and streamlined the processing of auto refinancing loan workflows. This integration ensured a smooth and seamless experience for both lenders and consumers. Quality assurance and testing: QA teams performed end-to-end testing including functional, integration, regression, and performance testing to validate the solution’s performance and reliability. Maintenance and support: Subsequent maintenance and support services were provided post production deployment. Technology Stack The technologies used were PHP 5.x, Laravel, CSS, JQuery, HTML, and JavaScript, and MariaDB (MySQL). RabbitMQ was used for third party integrations. Web services used were SOAP and REST and tools leveraged were Jira and Bit Bucket. Key Features Developed Lender interface interactions and document management: The various features developed were lender interfaces, inbound marketing for vendors/service providers, lender aggregations, loan application processing, vehicle information, and valuations, and handling of various deals finalizations.Messaging queue implementation: RabbitMQ, a message-oriented middleware, was used for handling asynchronous integrations with third-party applications and message queue implementations.Third-Party API integrations: The mainstream system was seamlessly integrated with 16 third-party APIs, facilitating data exchange and seamless functionality across systems.Dynamic appending of data to PDF: The system was made to dynamically support the appending of data to PDF templates which was based on business rules. Business Outcome:Streamlined workflows and improved loan closures: With streamlined workflows, ensured quicker loan processing by 90% and loan closures also improved by 90% for FSRs.Improved data exchange: Third-party APIs integration enhanced overall efficiency and facilitated smooth data exchange and communication between systems.Reduced loan workflow gaps: As the solution had no integration gaps between the mainstream system and third-party APIs, it ensured uninterrupted loan workflow processes without gaps and ensured seamless functionalities. Connect with us

Helped a financial services provider with Auto Refinancing Platform using PHP Read More »