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Rezo.AI uses WhatsApp automation to enable brands to transform customer experience

Handles up to 90% of conversational traffic with personalised responses

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MUMBAI: Rezo.AI, an AI-driven platform, has become the first to use Artificial Intelligence (AI) for WhatsApp Automation. Leveraging the benefits of WhatsApp, Rezo.AI’s Conversational AI engine is helping brands build personalised relationships with customers without the need for human intervention.

India is by far WhatsApp's largest market in terms of total number of users. The app, which started out as a simple instant messaging app, has changed with time and has imbibed all the essential features. Although useful for many different reasons, it can be especially useful when using it to improve customer service. The customers expect to have personalised, frictionless, on-demand, and data-driven experience helping them to make a better decision. Rezo.AI helps brands in delivering this through the Conversational AI powered WhatsApp bot feature.

It is a boon, especially for enterprises engaging with customers largely through WhatsApp.Rezo.AI has enabled pre-sales as well as post-sales customer queries over WhatsApp for multiple enterprises, by handling up to 90 per cent of conversational traffic with personalised responses.

Commenting on the same, Rezo.AI co-founder and chief data scientist Rashi Gupta says, “With Rezo.AI’s deep learning platform, brands have observed not only drastic improvement in unit economics, scalable volume handling, 24x7 support but also a great customer experience with reduced wait time leading to higher lead generation. In an era where customer experience is a true competitive differentiator, Rezo.AI helps brands create customized solutions and provide real-time response to customer queries.”

Built with AI at its core, the platform incorporates Machine Learning, Natural Language Processing, Predictive Analytics, Feedback Mechanism and other propriety algorithms to automate enterprise workflows.  Rezo.AI helps enterprises understand customers at a deeper level, and predict what they really want, helping them craft campaigns and product experiences at an effective cost.

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