Customer Experience and Machine Learning: Practical Applications - Earnix

The notion of using analytics to improve customer experience has changed the landscape and thought process of businesses over the past several years. As machine learning becomes further democratized, or more pervasively available, it is making its way into many enterprise software applications – including the Earnix software suite. Machine learning is impacting everyday analytical activities for our customers (segmentation, modeling, and optimization), and is improving very specific marketing program results. Often the ultimate goal of these marketing programs are to improve the customer experience – which requires a faster, more accurate, and more contextual customer interaction – which is better for both consumer and brand. I'll give a few examples of how machine learning is improving the customer experience through next best offer personalization, customer behavior analytics with new data sources, and analytical optimization.