Overnight Swiss-German voicemails, ERP-ready before the workday starts

At Max Schwarz AG, a significant share of daily orders is placed by phone and received as voicemails outside of business hours. Especially overnight, a high volume of customer orders accumulates before the working day even begins.

These voicemails are typically recorded in Swiss German, often spoken quickly and informally. Before any ERP process can start, messages must be listened to carefully, understood correctly, and manually transferred into the system. This task is time-consuming and places a high dependency on employees who are fluent in Swiss German.

To handle this workload more efficiently, Max Schwarz AG uses Hoshii in daily operations.

Hoshii’s Interaction Relationship Management (IRM) platform uses AI to process incoming customer communication. At Max Schwarz AG, Hoshii automatically transcribes Swiss-German voicemails and makes the content available in clear Standard German. Based on this transcription, order information is structured and prepared for processing in Fruchtmanager, the company’s ERP system.

Orders that previously required repeated listening and interpretation are now available as written, structured information as soon as the team starts its day. This significantly reduces manual effort and accelerates order processing.

A key benefit is the relief for employees who are not fluent in Swiss German. Instead of relying on dialect comprehension, they can work directly with Standard German transcriptions, ensuring consistent understanding and reliable order handling across the team.

As a result, Max Schwarz AG is able to process high overnight voicemail volumes more efficiently, start ERP workflows earlier in the day, and reduce dependency on individual language skills. Communication is transformed into structured input for the ERP, enabling smoother operations and more balanced workload distribution within the team.

The project demonstrates how AI-driven communication processing can address very practical challenges in daily operations — especially in environments shaped by dialects, time-shifted order intake, and high manual effort.