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Personalization and Omnichannel Interactions

Personalization and Omnichannel Interactions Driven by Artificial Intelligence (AI) Will Be the Future of Customer Experience (CX)

Dhivakar Aridoss

Dhivakar Aridoss

Marketing Head

I read an article on the CX highlights for 2024 in CMSWire, and they have predicted the following:

  1. The CX evolution will be powered by AI-driven personalization and omnichannel interactions in the coming years.
  2. Omnichannel experiences will focus on integrating all the customer touchpoints, including social, and offering a consistent experience.
  3. Voice and conversational user interfaces will become crucial, requiring investments in voice-enabled technologies for enhanced customer interactions.

How Relevant Are These Predictions?

I can’t agree more with these predictions.

More and more organizations automate most of their customer experience, allowing agents to address complex issues. Automation with AI is the best possible way to offer exceptional customer experiences.  

Omnichannel has gained much traction in the last couple of years, where the focus has been on providing a single view of customers across all customer touchpoints, interfaces, and channels. Now, it is gaining traction towards delivering a consistent experience.

Voice and conversational user interfaces will be the way to go, as they are the closest to human interactions.

Let us look at some trends that will dominate the customer experience space in the coming years.


What are the various customer touchpoints for a business?

The touchpoints include websites, mobile apps, CRMs, marketing automation tools, contact centers, helpdesks, and other AI-driven analytics software.

All of these touchpoints collect detailed customer data.

What do we do with this data?

Not much. Manually analyzing them and offering personalized experiences will be a humungous task. However, with AI and Machine Learning tools, vast amounts of data can be analyzed across millions of customers to uncover insights and predict needs.

This will ensure situationally relevant promotions, and the scale enables brands to automate the process.

With this, every customer is seen as a market of one through consistently impactful customer journeys designed for dynamically changing specific needs.

Seamless Omnichannel Experiences

Let us assume you sell your products online on your standalone website and in marketplaces like Amazon, Flipkart, and ONDC platform, besides mobile apps, social media channels, and IVR.

How do you ensure that the experience is consistent and interconnected?

For this, all of these platforms will have to be integrated with your in-house systems, including inventory, supply chain, ERP, CRM, and customer service.

This will allow you to provide a consistent experience across all these interfaces and channels.

Imagine you have bought a personal care product from a brand. You are now calling their customer support. You are likely contacting customer support about the product that you purchased.

Imagine this information being leveraged by IVR to ask, “Is this a follow-up to the personal care product that you bought from us?” and route the call to the appropriate department.

This, again, will be the doing of the omnichannel platform that accesses all the customer information and matches it with the customer ID or phone number.

Predictive Analytics

Predictive analytics can help enhance customer experience across various industries. Let us look at some use cases where it can be effectively used:

  • Identify patterns and characteristics, helping you create more targeted and personalized customer segments. With this, you can tailor marketing strategies, product recommendations, and communication to specific segments.
  • Analyze historical customer data to identify potential churn indicators and take proactive measures to retain those customers.
  • Analyze customer purchase history and behavior and predict which products or services a customer will likely be interested in. Think Amazon recommendation engine.
  • Optimize pricing strategies based on demand, competition pricing, and customer behavior in real-time, maximizing revenues while providing customers with fair and attractive pricing.
  • Analyze website visitor behavior and predict what content or products a particular visitor will likely be interested in. Think Netflix suggestions.

Voice and Conversational User Interfaces

Voice and conversational user interfaces play a significant role in transforming the customer experience across various industries. Deploying virtual assistants or chatbots with natural language processing capabilities allows customers to interact with businesses 24/7.

Here are some use cases where it can be used:

  • Self-service capabilities where users can ask questions, troubleshoot problems and receive step-by-step guidance using natural language, improving the efficiency of customer support processes.
  • Customers can use voice commands to place orders, track shipments, and receive real-time purchase updates.
  • Schedule appointments, make reservations, or book services using voice interfaces.
  • Use voice-based surveys to gather insights into customer satisfaction, preferences, and areas for improvement, leading to more valuable feedback.
  • Assist travelers with real-time flight information, hotel reservations, and local recommendations.

Customer experience is the new product in today’s world, and it has become the most significant competitive differentiator when all else is equal.

Artificial Intelligence, personalization, and omnichannel experiences will drive the customer experience initiatives of brands.

All of these will aid the human agents in providing the best possible customer experiences and there has to be an optimal balance between high-tech and high-touch.

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