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What is Verint Predictive Modeling?

Understanding cause-and-effect relationships can significantly enhance the creation of positive experiences. In the absence of clarity regarding which actions yield tangible benefits, business decision-making risks devolving into mere speculation. Relying solely on surface-level correlations or fragmented information is an inefficient use of both time and resources. Verint Predictive Modeling offers a solution. This cutting-edge platform provides a comprehensive perspective on customer and employee experiences by evaluating various touchpoints and forecasting potential enhancements. Armed with this valuable insight, organizations can make better-informed decisions, ultimately leading to increased revenue, enhanced loyalty, improved retention rates, and a stronger competitive edge in the marketplace. Additionally, leveraging such predictive analytics can foster long-term relationships with customers, ensuring sustained growth and success.

What is Lang.ai?

Lang transforms customer support interactions by automatically tagging them with customized data categories, resulting in a more than 60% decrease in average resolution time. By harnessing your customer support data, you can build a more efficient and smarter customer experience (CX) team. The improved categorization of support interactions facilitates the automation of numerous manual tasks, including ticket routing, triage, and prioritization, which drastically reduces the time needed to address issues. Every organization possesses a treasure trove of customer interaction data, and Lang empowers you to create personalized CX categories that enable effective collection and organization of this information. With the capability to generate actionable insights from your data effortlessly, you can boost customer retention rates and uncover potential revenue opportunities. Leveraging your distinct data language, Lang aids in the automatic tagging and categorization of customer interactions, highlighting new trends within your data. Additionally, you can easily implement automation based on these insights, ensuring seamless integration with critical CX systems. By facilitating real-time auto-tagging and categorization of incoming support tickets, you can provide a prompt and organized response to customer inquiries. This strategy not only optimizes workflows but also significantly improves overall customer satisfaction, creating a more robust relationship between the organization and its clientele. Ultimately, embracing these advanced tools can lead to a more proactive approach in addressing customer needs.