Case Study: Automotores Gildemeister increases picker capacity with Infor AI-powered dynamic slotting

Automotores Gildemeister multiplies picker capacity with Infor, cutting temporary labor by 67%

Automotores Gildemeister, a leading automotive distributor in Chile, Peru, and Costa Rica, faced challenges managing over 53,000 spare parts SKUs. Shifting demand led to increased picker travel times and a heavy reliance on temporary labor and overtime. To address this, the company turned to vendor Infor, utilizing its AI and machine learning capabilities within the Infor Velocity Suite and Infor Data Fabric.

Infor's solution analyzed warehouse management system data to identify high-demand parts for daily relocation to optimal "golden-zone" locations. This AI-powered dynamic slotting enabled Gildemeister to achieve golden-zone pick rates of 90% in Peru and 70% in Chile. The results were significant, with Infor helping to reduce temporary labor by 67%, cut estimated overtime by 25-30% during peak periods, and substantially increase overall picker capacity.

Automotores Gildemeister