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Hio's Transition from Sendbird to Stream Chat for Enhanced Community Engagement
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- E-Commerce
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Building Automation & Control
- Real-Time Location System (RTLS)
Services
- System Integration
The Challenge
Hio, a software company specializing in enhancing site experiences, faced a significant challenge with its patented site engagement software, Hovr. The software required a real-time chat solution to drive community engagement. Initially, Hio integrated Sendbird Chat into Hovr. However, they soon realized that they needed a more robust messaging solution that included features such as threads, channels, URL thumbnails, AI moderation, and more. The lack of these features in Sendbird was a significant issue as they were crucial for Hovr's functionality. Furthermore, Sendbird's inability to deliver these features as per their roadmap was concerning for Hio, a rapidly evolving company that relied heavily on its component partners for success.
About The Customer
Hio is a software company that specializes in helping brands power more engaging site experiences. The company believes that building an authentic, engaged customer community can lead to many bottom-line benefits, such as reduced acquisition costs, increased user retention, more conversions, and long-term loyalty and trust. To achieve this, Hio developed a patented software called Hovr, which enables any website to easily add content delivery and community engagement functionality with just a few lines of code. The software is designed to empower website visitors to communicate in real-time, facilitating peer-to-peer conversations and providing radically personalized customer support.
The Solution
To address the challenge, Hio transitioned from Sendbird to Stream Chat. The transition involved integrating Stream’s React Native Chat SDK and customized UI kit into Hovr, which was completed in just a few days. This integration provided Hovr with a professional-grade, real-time chat solution that could reliably scale to support the platform’s anticipated tens of millions of users. Additionally, Hovr's developers paired Stream Chat with Algolia to add search functionality. This allowed users to filter searches based on topic, person, interest, industry, and more, enabling them to find the exact conversation or content they needed. The integration of Stream Chat into Hovr also facilitated real-time in-app messaging, which was central to driving new sales and fostering a sense of community.
Operational Impact
Quantitative Benefit
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