Paretos
13 Case Studies
Case Study: Hermes Germany improves forecast accuracy by 6 million parcels per quarter with paretos AI
A Paretos Case Study
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. Their reliance on manual, sales-provided estimates led to costly operational inefficiencies and last-minute procurement of truck capacities. To overcome this, they partnered with Paretos to implement an AI-powered forecasting solution.
Paretos implemented an automated system that used historical data and custom metadata to generate precise 12-week forecasts for shipments and returns. This solution significantly reduced manual effort and improved forecast accuracy by 6 million parcels per quarter for Hermes Germany, resulting in considerable cost savings and a more reliable foundation for operational planning and growth.
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