
Role of Predictive Analytics in Retail: Use Cases and Benefits
In today’s market environment, retail businesses are continuously searching for cutting-edge solutions to establish a competitive advantage. One such solution that has garnered considerable attention is predictive analytics. By harnessing ML modeling and advanced tools like Corestrat’s Model.ai, retailers can unleash the complete potential of predictive analytics. Its applications span a wide range of areas, including demand forecasting, customer segmentation, pricing optimization, and fraud detection, among others.