For Group III International, forecasting demand across hundreds of SKUs globally was both complex and business-critical. Yet the underlying data used for forecasting was inconsistent, scattered over 750+ tables across 800+ SKUs. Typical data engineering approaches would have required years of work to build a usable foundation.

Every inaccurate forecast carried a high price: stock-outs that left revenue on the table, or excess inventory that eroded margins.

Invisible deployed Neuron, a data transformation module, to rebuild Group III’s data foundation in weeks.

Neuron automated the cleaning and structuring of 750+ data tables, enabling Invisible engineers to build AI models that expanded forecast coverage across SKUs, and improved demand forecasting by 2x compared to the legacy system. Today, the Invisible team continues to monitor the system, detecting data drift and ensuring model performance remains robust and stable.

The result is a complete, trusted view of future demand that mitigates costly supply-demand mismatches.