Generative AI enables hyper personalization at scale to meet the customer where the customer is

Meet the customer where the customer is.

But most companies have only paid lip service to this approach, likely because of lack of strategy and tools.

Now this phrase has a new meaning in the Generative AI paradigm.

Generative AI enables us to hyper personalize the way we work with our customers and move away one-size-fits-all approach.

84% of customers say being treated like a person, not a number, is key to winning their business. (Ref: Salesforce)

Even if you consider B2B business, we deal with human beings at the end of the day.

Leveraging Generative AI helps us to:
+ Gather and process customer insights at scale
+ Segment the audience and the market
+ Deliver personalized experiences at scale based key prompts
+ Engage customers in their ongoing journey based series of interactions and inputs
+ Reduce the gap between inputs and customer engagement

The new way of engaging customers with Generative AI requires human experts to govern AI inputs and outputs: prompts, weightage, temperature, and ongoing monitoring for model drift.

Thanks to Generative AI, meeting the customer where the customer is now possible at scale; creating even better customer experiences.

#customerexperience #cxai #generativeai

Related Posts

AWS re:Invent 2024: Revolutionizing Enterprise AI

Lessons in Customer Experience from Singapore’s Bacha Coffee: What the World Should Learn

At Bacha Coffee in Singapore, luxury meets exceptional customer experience. Through storytelling, personalization, and stunning visuals, they create memorable moments that any brand can learn from. Discover how thoughtful CX can elevate your customer journey.

The ChatGPT Moment for Online Shopping Has Arrived: Meet Perplexity Shopping

The Rise of AI Automation: Why RPA Companies Face a Disruptive Crossroads

Generative AI is reshaping the landscape of automation, taking over where traditional RPA falls short. Unlike RPA's scripted bots, AI-powered intelligent automation is adaptable, cost-effective, and capable of handling complex workflows end-to-end. As RPA companies face disruption, the choice is clear: evolve into AI-driven automation or risk becoming obsolete.

AI: Not Programmed, But Grown – Exploring the Evolution of Artificial Intelligence

Building AI is less about coding and more like cultivating a living system. Researchers find parallels between AI networks and biological brains, suggesting AI evolves, echoing nature's deepest patterns.

The Power of Distribution: Why It Outweighs Product Quality

In business, effective distribution often trumps product quality. Microsoft Teams exemplifies this, surpassing Slack by leveraging its Office 365 integration. The lesson is clear: distribution beats product. Startups must prioritize how to get their products into the hands of users, as a "good" product with strong distribution can outshine a "great" but inaccessible product.
Scroll to Top