NICE unveiled NICE Enlighten XM (Experience Memory), the latest advancement to NICE’s CX AI solution, Enlighten, that leverages large language models’ (LLMs) deep data memory to hyper-personalize customer journeys. NICE Enlighten XM ushers in a new era of CX by introducing fully contextualized journey management. NICE Enlighten XM provides brands with an unprecedented ability to understand, remember, and dynamically adapt to each customer’s unique needs and preferences. These capabilities are made possible by LLMs enriched with the industry’s most extensive set of CX-specific AI models from NICE Enlighten and equipped with a holistic customer data memory.

“Personalized experiences have been a holy grail for organizations, but most have struggled to deliver due to technological limitations”

NICE Enlighten XM enables NICE CXone customers to deliver seamless, context-rich interactions that effortlessly resume where previous interactions concluded, given its advanced capability to hyper-personalize the conversation in real-time. By leveraging a comprehensive memory of all critical data points that distinguish each customer interaction, NICE Enlighten XM provides instant access to historical interaction insights for both self-service and employee-assisted interactions.

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The AI-powered technology constructs an all-encompassing memory of each customer’s journey, including their sentiment, behaviors, and interaction history across all touchpoints. NICE Enlighten XM demonstrates a remarkable ability to harness data from a wide range of sources within an organization’s CX ecosystem, enabling it to gain a deeper understanding of the intricate nuances that define each brand-customer relationship on an individual, real-time basis. By equipping CX AI with contextual memory, Enlighten XM enables brands to deliver hyper-personalized, relevant, and impactful interactions that cultivate stronger relationships at every stage of the customer journey.

“Personalized experiences have been a holy grail for organizations, but most have struggled to deliver due to technological limitations,” said Barry Cooper, President, CX Division, NICE. “NICE Enlighten XM shatters those barriers, empowering brands to deliver on the promise of true personalization finally. With NICE Enlighten XM, brands can build stronger relationships, drive unparalleled customer satisfaction, and lead the way in the future of customer experience. We’re excited to make this vision a reality for our NICE CXone customers.”

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Key benefits and capabilities of NICE Enlighten XM include:

• 360-Degree Customer Insight: Combines interaction data, metadata, and analytics from the entire CX ecosystem to provide an unparalleled understanding of a customer’s history and preferences, driving more impactful and personalized interactions.
• Individualized Memory Graph: Creates a unique memory graph for each customer, ensuring every interaction is tailored to their specific needs with full context based on a multi-dimensional historical record.
• Continuous Conversational Sync: Seamlessly resumes interactions exactly where they left off, regardless of channel or device, enabling asynchronous bot-and-agent-led interactions to instantly understand and address customer needs.
• Adaptive Personalization Engine: Dynamically determines the optimal next action, response, or activity in real-time based on past performance, leveraging LLMs’ deep data memory and the brand’s knowledge base to create an evolving, customer-centric interface.

“Enterprise decision makers are overwhelmed with options to apply large language models and Generative AI to improve their customers’ experience,” explains Dan Miller, Lead Analyst at Opus Research. “Instead of approaches that employ an ocean of undifferentiated data, they need ‘CX AI’ that is trained on company and customer-specific data that can drive personalized, effective outcomes. Investing in this approach now is foundational to any strategy that differentiates their brand in the Conversational AI era and future-proofs their business operations for years to come.”