Tata Communications to elevate customer interactions with ‘Kaleyra AI’

by

Azunta Gaviola

-

1 year ago

Singapore – Tata Communications, a global communications technology firm, has recently introduced its latest AI-powered solution aimed at transforming customer interactions. Titled Kaleyra AI, this tool intends to seamlessly integrate with communication channels and live agent interfaces using GenAI. 

As a new solution, it will also feature three innovative capabilities that extend beyond traditional communication tools, empowering businesses to achieve a competitive edge by fostering seamless, personalised, and highly engaging customer interactions.

These new capabilities include a GenAI template generator for WhatsApp, enabling enterprises to automate marketing tasks, augment response rates, and maintain consistent brand voice and relevance with their customers.

Another significant capability is the conversational AI data reporting that offers transformation of complex data queries into insightful reports complete with engaging, easy-to-understand visualisations.

Lastly, it also involves a conversational AI no-codebuilder designed to empower business users to create ‘interaction assistants’ that offer natural, conversational responses (without any programming knowledge) in text and rich media formats for both customers and workforces. This strategic move aims to simplify complex data analysis and accelerate decision-making.

Mauro Carobene, head of customer interaction suite at Tata Communications, said, “Kaleyra AI represents a powerful leap forward and will be a force multiplier for enterprises to accelerate business growth. For customer-facing roles, the portfolio will significantly improve engagement and interaction rates.”

“In early controlled demos, we observed marked reductions in mean time-to-respond and resolve issues, especially during peak query volumes. For C-suite decision-makers, our generative AI-powered reporting and insights will enhance visibility into enterprise performance, all via a simple natural language interface,” added Caurobene.

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