Case Study: Unicar-Yale achieves 95% forecast accuracy and 20% inventory reduction with Slimstock's Slim4

Unicar-Yale chooses Slimstock to improve forecasting

Unicar-Yale, the official importer of Yale forklifts in Italy, needed to improve forecasting, replenishment and spare-parts availability across more than 5,000 SKUs and four regional warehouses to maintain service levels and support rapid customer growth. To address these challenges it selected Slimstock and its Slim4 inventory optimisation solution to better manage demand forecasting and streamline replenishment processes.

Slimstock implemented Slim4 with an initial process analysis, ERP integration and user training, going live in three months with minimal internal resource use. The solution automated purchasing, improved forecast accuracy to 95%, halved the ordering workload, cut urgent replenishment, reduced inventory value by 20% and raised fulfilment and sales turnover—delivering measurable service and efficiency gains for Unicar-Yale.

Unicar-Yale