Change Management & Targeted Capability Building: Enabling Improved & Automated Stock Allocation

To achieve the transformation, the organization needed to address significant changes in master data management and portfolio team roles. The portfolio management team transitioned from an operational to a more strategic role, requiring an in-depth understanding of the new processes, adoption of new ways of working, and the development of additional capabilities. 

OXYGY collaborated closely with the client to bring the new target processes to life. This included defining new roles, clarifying expectations, and identifying the capabilities required for success. Subject matter experts (SMEs) from various countries were deeply involved in designing the future processes, ensuring that the solutions reflected on-the-ground realities and gained widespread buy-in. 

For each role, OXYGY worked with SMEs to define necessary changes and new capabilities. These insights were translated into a systematic training approach, with training content developed collaboratively by SMEs. To ensure the training was engaging and impactful, OXYGY designed structured and visually appealing training flows and materials. 

Since the SMEs delivering the training were not experienced trainers, OXYGY implemented a robust Train-the-Trainer program. This initiative equipped SMEs with the skills and confidence to deliver interactive, engaging training sessions that focused on changing mindsets and building practical, ready-to-use capabilities.  

The pilot phase demonstrated that the approach was effective and provided insights for further refinements. During the rollout, the transition was smooth, and the benefits of the new system became apparent quickly. The organization experienced fewer stockouts and reduced excess inventory, delivering the anticipated results on schedule. 

Portfolio teams successfully adopted the new ways of working and cockpit tools, overcoming the steep learning curve through targeted training and support. The increase in non-touch orders maximized productivity, accelerated processes, and enabled faster decision-making to resolve supply chain challenges. 

Finally, the automated process unlocked AI-driven optimization for stock allocation, positioning the organization for further significant improvements in the future. This transformation not only addressed immediate challenges but also laid the foundation for sustained success and innovation in supply chain management.