Case Study: General Motors builds a full-granularity digital supply chain model with Optilogic

General Motors builds its most detailed digital model with Optilogic, covering 260K+ SKUs

General Motors faced the challenge of modeling its massive North American supply chain operations for finished vehicle logistics and service parts without the aggregation required by its legacy tools. This lack of SKU-level precision and the presence of departmental silos limited the fidelity of its models and hindered strategic and tactical planning. To overcome this, GM partnered with vendor Optilogic to build a fully disaggregated digital model.

Optilogic implemented a solution using its Supernova cloud solve technology and automated data pipelines to create a unified, end-to-end model from fully disaggregated data. The results included the creation of GM's most detailed model to date, which is used for decisions from facility placement to daily route optimization. This provided strategic and tactical gains, increased agility, and standardized data pipelines across the enterprise for more reliable analysis.

General Motors