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How VoC Vendors leverage AI/ML for Driving Business Agility, Contextual and Hyperpersonalized Engagements

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This Quadrant Knowledge Solutions‘ Market Insights provide detailed insights to users about the significance of leveraging AI/ML technologies in the VoC space for analyzing customer interactions to deliver personalized recommendations.

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the Voice of Customer (VoC) landscape by providing unprecedented insights into customer behavior, preferences, and expectations. VoC leverages AI/ML technologies enabling organizations to collect, analyze, and interpret customer feedback, thus providing them with valuable insights that they can leverage to improve their products, services, and operational process. The use of AI & ML has enabled organizations to gain a deeper understanding of their customers and personalize their interactions based on individual needs and preferences in real-time.

Vendors of voice-of-the-customer (VoC) solutions are increasingly focussing on artificial intelligence (AI) and machine learning (ML) technologies to offer hyper-personalized engagements to their customers. By leveraging these technologies, VoC vendors can analyze large volumes of customer feedback and data in real-time, to provide actionable insights and recommendations to organizations. AI/ML algorithms can help identify trends, patterns, and sentiment from customer feedback, which can be used to improve customer experiences and drive business outcomes. Furthermore, as AI/ML technologies continue to evolve, VoC vendors are likely to further enhance their capabilities, providing organizations with more accurate, actionable, and personalized insights.

According to Preshit Parab, Analyst at Quadrant Knowledge Solutions, “VoC vendors are investing in AI/ML technologies to identify variations in customer behaviour including customer emotions through speech analytics and face recognition. By leveraging AI/ML, VoC vendors will allow organizations to automate the survey building process or creating smart feedback methods, enabling them to develop more targeted and effective marketing strategies. With the help of AI/ML, organizations will be able to deliver a hyper-personalized experience to their customers, leading to increased customer satisfaction and loyalty, and ultimately, higher ROI.

Table Of Content :

Introduction
How CDPs drive better customer understanding
CDPs evolving landscape and trends
Conclusion

Author : Preshit Parab Analyst at Quadrant Knowledge Solutions

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