Products & Solutions

Hospitality in any language: using SaaS technology to support multilingual staff and guests

Today’s hospitality industry has expanded far beyond regional and national borders - from global hotel brands, to increased international travel and more. At Kipsu, we recognize the importance of providing the highest level of service to guests, while also enabling your staff to communicate as efficiently and effectively as possible. That’s why we’ve heavily invested in creating multiple UI languages for our platform, and offer myriad translation options for guest messaging.

5 Funciones de Mensajería Digital para Mejorar la Experiencia en el Resort

La gestión de grandes complejos turísticos requiere una sólida comunicación entre departamentos, empleados y clientes. Contar con una única solución SaaS que proporcione comunicación digital podría optimizar la eficiencia de su equipo y mejorar la experiencia de sus huéspedes. Afortunadamente, la mensajería digital de Kipsu ofrece muchas funciones que podrían aumentar fácilmente su ROI. Desde las funciones de alimentos y bebidas hasta la difusión de mensajes en todo el sitio, eche un vistazo a las funciones de mensajería digital de Kipsu.

Hospitality and AI: How the New Technology Can Help With Hotel Texting

Artificial Intelligence (AI) has been taking over the tech industry, and while we may not think of the hospitality industry as tech-forward, AI is quickly becoming a part of a front desk agent or GM’s workflow. AI is a great feature to supplement your guest messaging software, and while some are skeptical about AI, it can help your staff provide excellent customer service without losing the human connection that is inherent with guest communication. Take a look at how AI-suggested replies can help boost your guest messaging experience.

February 26, 2018

Malls, Chatbots, and the Future of Shopping Engagement

Why a real human behind digital messaging is key to the guest experience

Chatbot technology is nothing new. Since the first chatbot was developed in 1966 (that’s right, bots are as old as The Beatles), the foundations of bots have been slow to evolve beyond keyword-based replies and natural language processing.