Case Study: Hermes Einrichtungs Service reduces forecast deviation and manual planning effort with paretos

Hermes Einrichtungs Service cuts forecast deviation from 19% to 9% with Paretos

Hermes Einrichtungs Service (hes), a specialized logistics provider for bulky goods, faced challenges with its manual demand planning process. The company relied on disparate customer forecasts and sales estimates, which led to high manual effort, limited accuracy, and a planning logic that was difficult to scale. hes sought a partner to help them create a superior, granular, and leaner forecast to support critical decisions around staff deployment and transportation.

The vendor paretos built a solution featuring two interlocking forecasts: a daily and a monthly model. This implementation resulted in a forecast deviation reduction from 19% to 9% and replaced two manual Excel processes, saving approximately 22 hours per month. The granular forecasts provided by paretos brought new levels of detail and transparency to hes's intralogistics planning.

Hermes Einrichtungs Service (hes)