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Harnessing AI to transform customer experience management in an omnichannel world

by CXO Staff
April 2, 2025
in Opinions

Yogin Patel, VP - Product Engineering, Sprinklr, explores how AI-driven solutions enhance engagement, streamline interactions, and deliver personalised experiences at scale

Harnessing AI to transform customer experience management in an omnichannel world

In the contemporary business environment, customer experience (CX) has emerged as the linchpin of competitive advantage. With customers interacting with brands across multiple channels and platforms more than ever before—be it through social media, e-commerce, or face-to-face encounters—delivering a seamless and personalised experience has grown increasingly challenging. However, the businesses that successfully navigate this complexity are the ones setting the pace in the market. The crucial element in achieving this synchronisation? Artificial Intelligence (AI).

Navigating the complexities of omnichannel consistency

Gartner predicts that by 2025, 80 per cent of customer service and support organisations will be applying generative AI technology in some form to improve agent productivity and customer experience (CX).

In today’s digital landscape, consumers anticipate effortless transitions between diverse digital platforms and devices without losing context. Whether they are browsing a mobile app, engaging with customer service on social media, contacting a call centre, or shopping in-store, they expect a consistent level of service and personalisation throughout. Yet, for many businesses, this vision of omnichannel harmony remains elusive. Disconnected systems, data silos, and manual operations create bottlenecks, resulting in inconsistent experiences that alienate customers and drive them away.

Enter AI. By harnessing the power of generative AI and machine learning, AI can sift through vast amounts of customer data across various touchpoints, manage personalised customer interactions, and harmonise the overall experience.

Harnessing AI for real-time insights and analytics

AI transcends mere task automation; it delves into understanding the customer on a profound level. Through sentiment and intent analysis, AI can track customer interactions (and predict satisfaction levels) across social media, reviews, chat/voice support, and discern their emotions, preferences, and pain points. This real-time intelligence empowers businesses to customise their responses, whether by offering tailored promotions on products of interest or swiftly addressing negative experiences with service recovery initiatives.

Some platforms leverage AI to refine their recommendations based on browsing behavior, purchase history, and even sentiments expressed in reviews. This approach ensures that customers receive pertinent and timely personalised suggestions, irrespective of their interaction channel with the brand.

Crafting individualised and cohesive experiences

 AI-powered Customer Experience Management (CXM) platforms excel in devising personalised journeys for each customer across channels. By amalgamating data from diverse sources—such as CRM systems, social media engagement, call centre interactions, and past purchases—AI can anticipate customer needs and tailor experiences seamlessly across touchpoints.

Scaling customer experience with AI

 As enterprises expand, the challenge of sustaining personalised engagement grows. AI addresses this scalability hurdle by automating data analysis and interaction processes that would overwhelm human capacity. Generative AI-powered AI Agents for customer service, AI-driven agent support, and automated recommendation engines empower businesses to deliver top-tier customer service to multitudes of customers simultaneously. Modern CXM platforms enable businesses to develop these AI agents once and deploy them across channels and touchpoints, facilitating the broad adoption of AI within diverse business functions, even in large enterprises.

Emphasising ethics and data privacy

 While AI offers vast potential in enhancing customer experiences, it raises critical ethical concerns, with data privacy at the forefront. Firms must guarantee that their AI systems are transparent and accountable and prioritise customer data security. In an era where data breaches can erode trust, businesses must utilise AI responsibly, not just to comply with regulations like GDPR but also to uphold customer trust.

 In conclusion, AI is transforming Customer Experience Management and facilitating the delivery of unified, personalised, and seamless experiences across all platforms. In an omnichannel environment where customer devotion hinges on frictionless interactions, businesses embracing AI stand to elevate CX and position themselves as frontrunners in the dynamic digital realm. The era of AI-driven CXM is upon us, and enterprises that fail to adopt it risk lagging in meeting—and surpassing—contemporary customer expectations.

Tags: AICustomer Experienceomnichannel
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