Deployed a diverse team of 20 software engineers, including experts in Java and Python and AI specialists for machine learning and data analytics. They worked with DevOps experts to overhaul supply chain processes, incorporating technologies like Java, Python, and cloud-based solutions for inventory management and logistics optimization.
Outcome: Reduced delivery times by 30%, improved inventory accuracy to 98%, and achieved a 20% increase in operational efficiency.
Building a Futuristic & Secured Patient Care Platform
The healthcare brand leveraged our tech expertise and top talent to create a patient care platform that meets quality service demands at remarkable speed and scale. The comprehensive solution, powered by on-demand AI specialists, revolutionized patient records, telemedicine, and healthcare for better outcomes. Enhanced front-end and back-end systems ensure a seamless patient experience.
Outcome: Reduced patient wait times by 40%, increased telehealth visits by 50%, lowered administrative workloads by 15% and reduced the cost of care by 20%.
Our software experts created a game-changing real estate platform for a client in Saudi Arabia, empowering property owners to list their properties and agents to manage rentals and sales seamlessly. Our solutions included Elasticsearch for improved search, a scalable microservices architecture, and a global translator for enhanced user experience.
Our software experts drove a CRM transformation for a prominent automotive player, improving lead management, sales and data insights, partner collaboration, and more. Leveraging our expertise in platformization, cloud tech, data management, APIs, security, and analytics, the CRM boosted engagement on a massive scale.
NeoSOFT engineered and deployed an interactive and scalable telehealth platform for a popular digital health business in the Middle East. Our team utilized the latest technology to enable doctors and patients to communicate directly through audio and video conferencing, championing universal health coverage in an accessible, affordable, and convenient way.
The client leveraged our software development proficiency to construct a sturdy learning management solution, effectively assisting over 1 Million learners with cutting-edge digital learning in the UAE region. This feature-rich, intuitive LMS product ensures an efficient, secure, and reliable distance learning experience with seamless data storage, user authentication, and performance.
We partnered on a MENAT banking group’s digital transformation, automating lending processes, improving customer management, and optimizing various areas, including collateral details, employee management, charge calculation, and leave cover. Our role spanned product engineering, UX/UI design, automation, AI integration, data security, and management.
As an Analytics and Robotic Process Automation (RPA) enabler, our comprehensive platform empowers business leaders with transformative insights and the automation of manual tasks, facilitated by our data management, analytics, and RPA capabilities. With a team of skilled decision scientists and data scientists, we leverage our expertise in Artificial Intelligence (AI), business acumen, technical skills and industry knowledge to drive your success and accelerate your business growth.
We conducted thorough Requirement Analysis and collaborated with stakeholders to ensure data engineering teams had a comprehensive understanding of project goals. Rigorous unit testing and utilization of version one planning and management tool ensured a robust and error-free application. Leveraging Java schedulers and RESTful APIs, we seamlessly moved data from message queues to SAP C4C, streamlining the analysis process and enhancing service quality.
We designed and implemented a robust big data solution capable of handling large datasets and incorporating advanced functionalities. The integrated data engine enabled our client to gather and analyze data from various geographic locations, providing valuable insights for budget forecasting, product sales, and profit reports. Our responsibilities included the big data engineer, developing the ingestion pipeline to load data from diverse sources, building the processing and consumption module for forecasting and reporting, and ensuring data quality through regular validation checks at the end of each job.
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