Case Study: a leading retail company increases revenue with i-Verve’s AI-powered analytics

a leading retail company increases revenue by 25% with i-Verve

i-Verve was engaged by a leading retail company struggling with inefficient, traditional data analysis. This resulted in slow insights, a lack of personalized marketing, missed sales opportunities, and high customer churn.

i-Verve implemented an AI-powered analytics solution featuring machine learning models built with Python and TensorFlow and real-time dashboards in Tableau. This integration enabled predictive analytics and personalized marketing campaigns. The results included a 25% increase in revenue, a 60% decrease in time to insights, and a 30% reduction in customer churn.