Enhancing Customer Experience: Leveraging Data Engineering and AI in Retail Analytics

Abstract

The abstract of this article provides a concise overview of the integration of data engineering and AI in retail analytics to enhance the customer experience. It highlights the utilization of big data tools and applications in the retail sector, emphasizing the significance of historical sales data, loyalty schemes, and external data sources for demand forecasting, pricing, and operational planning. Additionally, the abstract discusses the influence of AI and machine learning in detecting demand disruptions, retraining AI models dynamically, and adjusting omnichannel operations to effectively serve customers in both physical stores and online platforms, particularly in the context of the COVID-19 pandemic. The abstract section sets the stage for the subsequent discussions on the specific techniques and challenges associated with leveraging data engineering and AI in retail analytics to enhance the overall customer experience.