Mumbai, India – Customer engagement firm CleverTap has announced recently that it has unveiled its latest AI engine, aiming to enable brands with the next generation of AI capabilities.
Named Clever.AI, this advancement encompasses building human-like understanding of customers and delivering personalised experiences efficiently, maximising customer lifetime value.
In this launch, the company also highlighted three core AI pillars for Clever.AI: predictive, generative, and prescriptive. These pillars are set to revolutionise the way brands engage with customers, making customer interactions more intelligent and efficient.
Furthermore, the said initiative also aims to allow brands to become insightful, empathetic, and actionable.
More specifically, the solution’s predictive AI capabilities forecast precise business outcomes, allowing brands to anticipate customer needs. Clever.AI leverages insights from CleverTap’s proprietary TesseractDB™, ensuring detailed data with a longer historical view. This enhances prediction accuracy and empowers brands to make informed decisions, leading to improved marketing ROI.
It also merges creativity with emotional intelligence, creating content that resonates on a human level. This approach assists brands in driving conversions and captivating customers with highly personalised experiences.
Additionally, it offers actionable insights to enhance conversions across the customer journey. By identifying the best engagement tactics in real-time, brands can optimise their strategies effectively.
Anand Jain, co-founder and chief product officer at CleverTap, also shared, “We’re thrilled to unveil Clever.AI, a testament of our pursuit over the last several years in leading the way in adopting the latest tech to transform customer engagement.”
“We will continue to innovate CleverTap’s all-in-one engagement platform with Clever.AI enhancing its precision in predictions, its ability to prescribe intelligent customer experiences strengthened by advanced product analytics, and deeper persona profiling to ensure brands can build highly personalised experiences and campaigns more effectively, ensuring every customer interaction is personalised and outcome driven,” added Anand.
