Case Study: Hermes Einrichtungs Service achieves more accurate bulky-goods demand planning with Paretos

HES boosts forecast accuracy to 9% with Paretos

Hermes Einrichtungs Service (hes), a logistics provider for bulky goods, faced a challenge with its manual and inaccurate demand planning process. Their volume forecasts relied on inconsistent customer input and sales estimates, leading to high manual effort and limited scalability. hes partnered with Paretos to implement a data-driven, AI-powered demand planning solution to overcome these issues.

Paretos built and implemented two interconnected forecasts: a daily and a monthly prediction. This solution significantly improved forecast accuracy, reducing daily deviation from 19% to 9%. The new system replaced manual Excel processes, saving 22 hours per month, and provided a single, granular forecast used for multiple strategic decisions across the company.

Hermes Einrichtungs Service (hes)