Insights on AI-Powered Customer Experience (CX) in the Indian Context: An Interview with Vasudeva Rao Munnaluri, RVP India & SAARC, Zendesk
In today’s fast-paced digital world, customer experience (CX) has become a key differentiator for businesses. With the rise of Artificial Intelligence (AI), companies are looking to leverage this technology to enhance their CX strategies. However, as Vasudeva Rao Munnaluri, RVP India & SAARC at Zendesk, points out, AI is only as good as the intelligence it’s built on.
In a recent interaction with indianexpress.com, Munnaluri shared some valuable insights on the complexities and potentials of AI-powered CX in the Indian context. He emphasized the importance of training AI solutions with specific data to ensure accurate and personalized customer experiences. With as many as 67% of customers in India willing to switch to a competitor after a single bad experience, the accuracy and transparency of AI solutions are paramount.
Munnaluri also highlighted the need for Indian businesses to approach AI as a new employee that requires specific training. While AI has the transformative power to drive CX, blindly implementing it for all customer interactions is not advisable. He stressed the importance of acknowledging that some tasks require a human touch and empathy, and that AI should be seen as a starting point for conversations, not the only solution.
So, why should Indian companies adopt AI for CX? According to Munnaluri, poor customer service can negatively impact retention rates, with as many as 72% of consumers in the Asia Pacific region stating that a bad interaction with a business can ruin their day. By actively tracking sentiment and intent through AI solutions, businesses can better understand and solve customer issues, ultimately improving the customer journey.
Munnaluri outlined 10 key considerations for Indian businesses looking to adopt AI for CX. These include thoughtful application, establishing trust, focusing on customer needs, responsibly adopting AI solutions, training AI with specific data, capitalizing on CX-specific data, striking a balance between AI and human interactions, addressing implementation challenges, realizing cost savings and improved productivity, and aligning AI solutions with the broader corporate strategy.
However, Munnaluri also acknowledged the challenges that Indian companies face while adopting AI solutions. He highlighted issues such as slow and expensive AI-driven solutions, heavy IT spending, lengthy implementation times, and the need for human oversight during the initial stages of training AI.
In conclusion, AI has the potential to revolutionize CX for Indian businesses, but it’s essential to approach it with caution and strategic planning. By understanding the limitations of AI, training it with specific data, and striking a balance between AI and human interactions, companies can leverage this technology to enhance customer experiences and drive growth.