A rational workflow is the basis. Here for instance nobody is mentioning regulatory/legal. They often are called late, and then other departments complain that the project is stopped or slowed down. You have no idea how many indeed really brilliant projects from R&D I saw stopped after months because simply the composition of the food/ingredient was not legal in the target market... And then you need cooperation, not competition and blame-shifting between departments. And this is about company culture and people. Finally you can think about AI and fancy project management tools, like Trello or Asana, that I used in turn and know very well.

He dirigido un departamento de desarrollo de productos durante 9 años en los que desarrollamos más de 2000 productos. Inicialmente todo era un absoluto caos, con muchas complicaciones, y la información repartida por muchos sitios. Solución: -Definición de necesidades de todos los departamentos. -Definición de un proceso que cubra las necesidades y que tenga al cliente en el centro. -Análisis de ese proceso realizando un VSM de metodología LEAN -Implementación de una herramienta de gestion para concentrar TODA la información (JIRA-TRELLO) Resultado: -Reducción del 90% de los errores -Eliminación de retrabajos -Control de todo el conocimiento generado -Multiplicamos por 4 la tasa de acierto en los desarrollos

A successful product launch thrives on clear communication and accountability. Cross-functional team meetings help ensure alignment, while a shared timeline and project management tools track progress and assign responsibilities. Prioritize transparency and open feedback to bridge departmental gaps effectively.

Just sharing some example of platforms & Ai tools that can help (This is by no means the only ones or the best. As the organisation needs to be comfortable with the "tools"). Integrated Project Management Tools: Use Asana or Trello to track progress and manage tasks. AI-Powered Project Management: Tools like Monday.com predict timelines and suggest resource allocation. NLP for Communication: AI tools like Slack summarize notes and translate messages. Predictive Analytics: AI predicts demand to aid R&D and production planning. AI-Enhanced Quality Control: Machine learning monitors production quality in real-time. Generative AI for Innovation: Siemens Industrial Copilot streamlines automation & boosts productivity.

To ensure successful product launches in food manufacturing, foster open communication through regular cross-functional meetings, align all departments around customer-centric goals, and establish feedback loops to quickly address any challenges. These strategies promote collaboration and streamline the launch process.