Sendbird Embraces Generative AI

The company Sendbird introduces no-code chatbots as part of its embrace of generative AI. For Web and Mobile Apps, ChatGPT is used.

Companies have access to human-like chatbots with new levels of personalization through the Sendbird dashboard, with use cases only constrained by their creativity.

Sendbird, a mobile app conversation platform with a monthly active user base of over 300 million, today unveiled a new low-code API to boost ChatGPT chatbots. For product managers and developers of web and mobile chat apps, it opens up a world of opportunities as they can quickly access generative AI’s ability to help users. With more individualised and sophisticated responses to challenging questions, businesses have the chance to revolutionise the chatbot experience seamlessly and increase customer engagement, retention, and satisfaction.

With the help of the new chatbot API, more than 1,300 apps can now easily exchange more than 7 billion messages each month on the Sendbird platform. Customer engagement and the use of OpenAI are elevated when GPT AI chatbots are layered on top of the current chat experience. Sendbird, which now serves as middleware, allows online companies that embed chat to reinvent their chatbot experiences across a variety of verticals, including marketplaces, healthcare, financial services, on-demand, education, and more. Businesses that want to use ChatGPT’s conversational capabilities in conjunction with customer data to produce custom responses catered to their precise customers’ needs have a fantastic opportunity at their fingertips.

Using ChatGPT, Sendbird is delivering on the promise of human-like chatbot interactions. ChatGPT is a new API that dramatically improves chatbot conversations by enabling personalised and intelligent responses that were previously only possible with human interaction. Previous chatbots had problems with being too rigid and scripted. For instance, if a user asked a series of frequently asked questions, the chatbot would respond with pre-programmed responses, quickly exhausting its scripted capabilities. Let me hand you off to a human agent,” it would probably say if the conversation went on past what it was intended to. It turned out to be a brief, superficial experience with little lasting value.

Sendbird’s ChatGPT-powered chatbots, on the other hand, produce a conversation that feels human and can be further customised with customer information. For ChatGPT to generate more helpful responses, businesses can feed it data from Customer Relationship Management (CRM) or previous conversations. For illustration:

  • A healthcare company can streamline doctors’ appointment scheduling while considering each party’s availability,
  • A Fintech app can create a financial bot to answer users’ various queries on their spending,
  • A marketplace can assist support agents with past conversations’ summaries and offer intelligent suggestions to greet and farewell customers.

As a result, customers experience a greater sense of care, which fosters loyalty and improves efficiency and brand perception. With its new Salesforce Connector, which uses ChatGPT Summarise to synthesise customer cases so that a new agent can quickly take over, Sendbird has already seen these results.

The goal of Sendbird is to facilitate communication and action between online businesses and their customers. Using ChatGPT to make chatbots converse like humans to improve user experience with first-party data made complete sense. The test cases we’ve seen have been pretty incredible, according to Sendbird’s CEO and co-founder John S. Kim. Like with all Sendbird products, the API integration is quick and simple so that app developers can incorporate the chatbot right away. We can lower the entry-level cost for customers who want to use ChatGPT as a result.

With their OpenAI API key, customers can quickly build ChatGPT-powered chatbots using Sendbird’s API and dashboard. Customers can define and test efficient prompts, set ChatGPT parameters, and seamlessly add their chatbot to a channel in their app using the dashboard interface.

The foundation for future support of additional language learning models (LLM) and new use cases to further improve communication effectiveness and user experience is laid by Sendbird’s first generative AI integration.