Case Study: Hermes Germany achieves 6 million more accurate parcel forecasts per quarter with paretos AI

Hermes Germany improves forecast accuracy by 6 million parcels per quarter with Paretos

Hermes Germany, a major logistics company, faced challenges with inaccurate parcel volume forecasting that relied on subjective sales team estimates. This led to operational inefficiencies and high costs. To address this, Hermes partnered with vendor Paretos to implement its AI-powered forecasting solution.

Paretos' solution automated the forecasting process using historical data and custom metadata. This implementation resulted in a significant improvement, increasing forecast accuracy by 6 million parcels per quarter for Hermes Germany. The solution also optimized logistics costs and substantially reduced manual effort.

Hermes Germany