User-Friendly Interface
Intuitive and responsive workflows make AutoFixia easier for teams to learn and operate, helping reduce training effort while improving day-to-day productivity.
AutoFixia provides a complete Workshop Software solution that addresses every aspect of automotive workshop management. Our AutoFixia ERP system for garages, workshops, express auto service centers and multi-branch automotive businesses is designed to support real operational needs across the UAE, GCC and international markets.
Intuitive and responsive workflows make AutoFixia easier for teams to learn and operate, helping reduce training effort while improving day-to-day productivity.
Secure cloud access keeps workshop and ERP data available across devices, branches and authorized teams with centralized backups and controlled access.
Our support team helps AutoFixia customers maximize the value of their workshop and automotive ERP operations with responsive technical and operational assistance.
AutoFixia is built by professionals with deep experience across automotive operations, enterprise software architecture, ERP development, artificial intelligence, project delivery and full-stack engineering.
Aleem brings more than 25 years of experience in the software industry, with a strong background in designing and delivering enterprise solutions for medium to large-scale organizations. For over a decade, his focus has been automotive software, where he has translated complex operational requirements and business logic into scalable ERP platforms. His experience spans solution strategy, system architecture, process digitization and long-term product planning, helping AutoFixia align technology with the practical needs of automotive businesses.
Muhammad Sheraz has more than 15 years of hands-on experience in the automotive industry, with a strong understanding of workshop operations, aftersales processes, business requirements and operational logic. He specializes in transforming real automotive workflows into practical digital solutions designed around user and management needs. His academic work also focuses on AI in automotive applications; he is a PhD scholar in Automotive Preventive Maintenance and Automation and holds an MPhil in Computer Science, combining industry insight with advanced technology research.
Ahmad has more than 15 years of experience in automotive ERP architecture, enterprise system design and software structures supporting OEM and vehicle-manufacturing environments. His background includes work with Mercedes and other high-technology industrial operations, giving him strong exposure to complex business processes, integrations, scalable data models and mission-critical systems. With a Master’s degree in Software Engineering, he leads the architectural foundations that help AutoFixia remain modular, secure, maintainable and ready for large-scale automotive operations.
Mujeeb brings more than 10 years of experience managing medium to large-scale software projects, combining project leadership with a strong technical background in system design and full-stack application development. He has extensive experience guiding products from requirements and planning through development, testing, deployment and ongoing improvement. His role focuses on delivery governance, team coordination, sprint execution, stakeholder communication and ensuring that technical teams remain aligned with business priorities, quality standards and implementation timelines.
Munawar has more than 7 years of full-stack development experience and a strong track record of leading software engineering teams through structured product delivery. His core responsibilities include managing development sprints, coordinating front-end and back-end execution, maintaining code quality and supporting the continuous improvement of AutoFixia’s development process. With hands-on technical expertise and team leadership experience, he helps ensure that product requirements are translated into reliable, scalable features and delivered through a disciplined engineering workflow.
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