DSM – AI Operations Platform

Challenge

DSM’s operational teams managed complex global field activities manually, relying on outdated scheduling tools and fragmented systems. This created inefficiencies in workforce allocation, slowed communication, and made it difficult to predict staffing needs or optimise site performance.

Solution

We developed an AI-driven operations platform that unified workforce planning, predictive scheduling, and site performance monitoring. Through in-depth UX research and system mapping, we identified inefficiencies in the existing process and designed a scalable interface enabling managers to forecast demand, automate task allocation, and monitor outcomes in real time.

Results

The redesigned system reduced scheduling errors by 72% and improved operational efficiency by 38%. Managers were able to plan shifts proactively using predictive analytics, saving over 60% of time previously spent on manual allocation. The platform’s design system ensured visual consistency and rapid scalability across DSM’s internal applications.