How AI is transforming the customer experience

  • Enabling greater focus on growth-oriented tasks from the front lines

  • Creating fresh opportunities for business growth through personalization

  • Impacting cost base by automating repeatable high volume, low-value tasks

  • Increasing customer usage of digital self-service channels

  • Improving customer satisfaction through more engaging experiences, quicker service times, and better problem solving

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  • Stay ahead of the curve in the rapidly evolving landscape of CX and AI

  • Learn from real-world use cases and discover how to implement Generative AI responsibly and ethically

  • Ensure the most valuable outcomes for your customers, employees, and stakeholders

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OpenAI and Bain and Company

NPSx brings together the best of Bain's customer thinking. Now you can benefit from the global services alliance between Bain and OpenAI. This brings together OpenAI’s industry-leading artificial intelligence tools and platforms with Bain’s strategic guidance and digital implementation capabilities.

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CX For AI FAQs

  • How recommendations can improve machine learning customer experience?

    Recommendations powered by machine learning can significantly enhance customer experience by providing personalized and context-specific suggestions. These recommendations can be based on a customer's past behavior, preferences, and needs, making the customer's interaction with the business more relevant and engaging.

  • How will AI change customer experience?

    AI is set to transform customer experience by enabling more personalized and efficient interactions. It will allow businesses to predict customer needs and proactively address them, leading to a more seamless and intuitive customer journey.

  • How AI technology will transform customer engagement?

    AI technology will transform customer engagement by enabling businesses to provide personalized, real-time interactions, automate routine tasks, and predict customer behavior. This will allow businesses to proactively address customer needs, leading to enhanced customer engagement and satisfaction.

  • How to use generative AI?

    Generative AI can be used in a variety of ways, such as creating personalized content, generating realistic synthetic data for training machine learning models, and designing new products or solutions. It can also be used to automate tasks that require creativity or problem-solving, such as writing articles or designing graphics.

  • How brands are using artificial intelligence to enhance customer experience?

    Brands are using artificial intelligence to enhance customer experience in various ways. For instance, generative AI is being used to drive improvements in customer experience and cost control. It enables advanced knowledge management, providing human representatives with answers to questions related to policies, products, services, etc. It also powers chatbots and voicebots, automating customer service for specific use cases. Furthermore, it aids in interaction summarization, quality assurance and compliance analysis, intent analysis, and predictive routing, among other things.

  • How is generative AI different from traditional AI?

    Generative AI differs from traditional AI in its ability to create new content or predictions, rather than just analyzing existing data or following pre-programmed instructions. It can generate text, images, and even code, making it a powerful tool for enhancing customer experience and operational efficiency.