This paper presents a case study on the implementation of business intelligence (BI) in a retail company with the main aim to analyze the benefits of BI implementation and the challenges encountered during the process. The case study involves a large retail company that operates in multiple countries and offers a wide range of products. The implementation of BI was driven by the need to improve decision-making processes, increase operational efficiency, and enhance customer satisfaction. We also cover the different phases of BI implementation, including planning, data integration, data modeling, and dashboard development. This case study has highlighted some key ways in which BI can be implemented in a retail company, including the use of descriptive statistics to analyze customer behavior and identify trends and patterns, as well as the visualization of store attributes to communicate insights and drive improvement. Through the implementation of BI, the retail company in this case study was able to gain a deeper understanding of customer behavior, optimize inventory management, and improve sales performance for specific product lines. By continuing to collect and analyze data using BI tools, the company can continue to identify opportunities for improvement and make data-driven decisions to improve overall performance. While implementing BI requires a significant investment of time and resources, the benefits can be significant. As retail companies face increasing competition and changing consumer preferences, the ability to make data-driven decisions can be a key differentiator in achieving long-term success. The results of the study indicate that the implementation of BI has led to significant improvements in the company's performance, such as increased revenue, improved inventory management, and better customer segmentation. We investigate how artificial intelligence can provide great support for improving and automating the implementation of BI in retail companies. However, we also highlight some challenges encountered during the implementation process, such as data quality issues and resistance to change. The paper concludes by emphasizing the importance of careful planning, stakeholder engagement, and ongoing evaluation in ensuring the success of BI implementation in retail companies. As retail companies face increasing competition and changing consumer preferences, the ability to make data-driven decisions can be a key differentiator in achieving long-term success.