Case Study: Goodpack achieves improved forecast accuracy and reduced transport costs with Antuit's OPTIMUM

Goodpack Transforms S&OP Process with Artificial Intelligence and Advanced Analytics

Goodpack, a world leader in steel intermediate bulk containers (IBCs) operating more than 4 million containers across 78 countries, faced a complex S&OP challenge: poor predictive forecasting, suboptimal global inventory balancing, no automated order allocation or what‑if capability, missing KPI visualization, and weak adherence to the S&OP process. To address this, Goodpack retained Antuit and its cloud-based OPTIMUM planning and analytics platform to transform the global S&OP process.

Antuit deployed OPTIMUM and a cross-functional team to build an ensemble of ~20 machine‑learning models plus custom statistical and optimization engines, an order‑allocation algorithm, a scenario workbench, visualization dashboards, and a redesigned S&OP with comprehensive training. As a result, Antuit helped Goodpack establish a data‑driven monthly S&OP process, improve forecast accuracy by 5–12%, and reduce transportation costs by an estimated 14–17%, with ongoing model refinement to sustain gains.

Goodpack