Nice experience, Valid relationship and communication between m group and the company.

This was an excellent experience, strengthening both my technical expertise and professional competencies in advanced manufacturing. I appreciate the guidance from Cosmetica Labs and look forward to applying these insights in future career opportunities

It was a great experience and many new things to learn.

On behalf of our team, I would like to extend my sincere gratitude to COSMETICA Inc. for the invaluable opportunity to collaborate on the Digital Batch Record Process Optimization project. It has been a highly enriching experience to enhance the efficiency and integration of the Digital Batch Record (DBR) system. Throughout the project, we greatly appreciated the access to company representatives and the insights shared regarding your current DBR workflows, challenges, and process inefficiencies. The opportunity to apply Lean Manufacturing principles and process improvement methodologies in a real-world industrial setting was incredibly beneficial. The collaborative discussions with Kabir allowed us to gain a deeper understanding of key operational pain points, from recipe management and approval processes to resource allocation and equipment tracking. Our hands-on involvement in process mapping and workflow optimization has significantly contributed to our professional and technical growth. The project helped refine our problem-solving, project management, and interpersonal communication skills, all of which are invaluable for our future endeavors. While the project was a success, we recognized certain limitations in quantifiable data access, which could further enhance the depth of process optimization. Implementing automated data collection and centralized tracking mechanisms could provide even more insights into efficiency gaps and productivity metrics. We truly appreciate the opportunity to contribute to COSMETICA Inc.’s ongoing digital transformation efforts. The experience has been rewarding, and we are excited about the potential impact our findings and recommendations may have on improving workflow automation, traceability, and operational efficiency.