Case Study: Trafilea achieves fewer stockouts and better forecast accuracy with Muttdata demand planning

Trafilea reduces stockout losses by 25% with Muttdata

Trafilea, a global e-commerce company, faced significant challenges managing its supply chain due to five-month production lead times and volatile demand. Their reliance on manual judgment for replenishment led to stockouts, rush costs, and excess inventory. To address this, they partnered with Muttdata for a data-driven solution.

Muttdata implemented an end-to-end demand planning service that uses time-series and machine-learning models to produce automated weekly forecasts and inventory recommendations. This solution from Muttdata resulted in a 25% reduction in stockout-related losses, a 10% improvement in forecast accuracy, and scaled to cover the vast majority of the company's product SKUs.

Trafilea