goHappy Adds Automatic Language Translation for Frontline Messaging
goHappy launches automatic language translation for its frontline messaging platform. Now, organizations can broadcast updates in over 115 languages delivered instantly in each employee’s preferred language, with no manual work.

goHappy Adds Automatic Language Translation for Frontline Messaging

goHappy has introduced a new automatic language translation feature for its frontline messaging solution, empowering organizations to communicate with their deskless workforce in over 115 languages without requiring adopters to segment or duplicate messages by language.

This update addresses a common barrier in large, diverse, multi-lingual frontline teams: ensuring that every employee receives key communications safety updates, shift alerts, policy changes in the language they understand best.

Why This Innovation Matters

Breaking Down Communication Barriers

In many organizations, especially those in sectors like retail, hospitality, manufacturing, and healthcare, frontline workers span multiple language groups. Previously, HR or communications teams often needed to manually translate messages or maintain parallel message paths adding complexity, risk, and delay.

goHappy’s automatic translation removes that friction: when a company sends a broadcast message, each employee receives it in their preferred language, with no extra action needed by senders.

Broad Language Support

The new capability supports more than 115 languages, including major global tongues such as Spanish, Mandarin, Tagalog, Haitian Creole, and others.

Moreover, if an organization hasn’t yet captured employees’ language preferences, goHappy enables frontline workers to self-select the language in which they wish to receive communications.

Integration Across Messaging Channels

goHappy’s translation feature is baked into its existing messaging framework. It applies across:

  • Broadcast messages

  • Keyword-triggered responses

  • Automated workflows and reminders

This ensures that regardless of how messages are triggered, translation is seamless and consistent.

 

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