Language I/O Introduces a Multilingual Chatbot for Salesforce

Language IO Introduces a Multilingual Chatbot for Salesforce

Language I/O, powering meaningful conversations between global organizations and their customers, today released  its multilingual chatbot for Salesforce. Live chat is expected to grow by 87% over the next 12-18 months and real-time conversations help increase the customer retention rate by 50%. What’s more, analysts have predicted that by this year, 85% of customer service interactions will be automated via chatbots.

“It’s crucial for businesses to make their customers feel valued and supported, regardless of their location or native language,” said Heather Morgan Shoemaker, CEO and co-founder at Language I/O. “Chatbots are very often the first entry point to help that they encounter and a multilingual experience goes a long way to creating good will between a business and its customer.”

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Customers expect immediate responses from businesses when they are searching for help with an issue. In fact, 64% of customers expect 24-hour customer service support to be available. These increasing demands from customers are driving the use of chatbots, as a first line of assistance from businesses.

The challenge comes in meeting those customers in their native language, so effective problem solving and direction is provided. In the US alone, approximately 13%  (50 million people) of consumers are not native English speakers.

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Messages passed to chatbots, as with live chat, are often not written out in complete sentences with proper grammar. Customers are more conversational, the way people actually speak to each other in real life. The challenge of multilingual translation for chatbots, that Language I/O solves, is processing all the messy user generated content (UCG) including jargon, misspellings, acronyms, product names, etc.

Join Language I/O and CRMXchange for a free Webinar June 17th from 1pm – 2pm EST, to learn about the functionality of the chatbot and the importance of engaging with customers in their native languages.

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