How Natural Language Generation Improves Personalization and Drives Sales

HEIDI UNRUH | December 10, 2018

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As retail executives generate large amounts of big data from analytics and BI applications, they must have a strategy in place that is designed to leverage all of that data. Once valuable information is culled and packaged, how can it be used to engage customers more effectively? Even more important is how retail executives that require a high degree of personalization capabilities can use data to their advantage. One solution is to tap into the power of natural language generation or NLG. NLG is an AI-driven software solution that extracts data from complex sources to produce naturally worded content. NLG is important for retail executives because it: Creates unlimited content variations for personas for hyper-personalized digital experiences and better customer engagement. Panetta explains the importance of NLG. “Visualization has been a major driver of modern business intelligence (BI), but data in this form can be difficult to fully interpret. Natural-language generation (NLG) is able to create a written or spoken content-based narrative of data findings alongside the visualizations to produce a full story about key action items.

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