Case Study
Empowering Retail Success with AI/ML-Driven CLV Insights
Xoriant helped a leading US luxury fashion retailer enhance customer segmentation and revenue forecasting by developing advanced AI/ML and statistical models. They processed 60 million transactions from 6 million customers to create precise customer segments, enabling a granular understanding of diverse behaviors. Their models predicted customer spending for upcoming periods, optimizing acquisition spending and marketing strategies. This solution improved decision-making, increased sales through personalized targeting, boosted customer retention, and optimized budget planning for sustainable growth.