Smart Customer Analysis for Personalized Promotion based on AI

The retail framework becomes always more complex and increasingly competitive, which makes retailers search for different approaches and their combinations, one of which is utilization of information about clients to propose individual promotions. The article highlights importance and potential of Artificial Intelligence (AI) in differentiation of customers, their clustering and generation of individual promotion and action plans. By analyzing vast amounts of client data, AI algorithms provide valuable insights, allowing retailers to produce targeted promotions, while covering as much as possible their customer base. Indeed, implementation of AI-driven customer segmentation, recommendation engines, and predictive algorithms allows retailers to deliver much more efficient personalized proposals, increasing the conversion and customer retention. Moreover, continuous fine-tuning of personalization, based on data fusion and prediction models, natural language processing, further improve customer experience, boosting brand loyalty. Indeed, by employing AI technologies, stores could create stronger connection with customers, consequently boosting revenue and remaining strongly competitive in the sector