Predicting customer demands with intelligence
Lack of accuracy in demand forecasting can lead to lost sales, depleted inventories, unhappy customers, and millions in lost revenue. When a leading US-based electronics component distributor found gaps in their demand forecasting – and the issues it caused downstream in the organization – they turned to Infosys BPM for the fix. They collaborated to implement an AI/ML-based solution which led to a reduction in $3 Mn in inventory costs while improving the forecasting accuracy by 25%.
