Cross-platform BI dashboard optimization in omnichannel retail analytics

Gorgilli, Shireesha (2025) Cross-platform BI dashboard optimization in omnichannel retail analytics. World Journal of Advanced Engineering Technology and Sciences, 16 (1). pp. 585-593. ISSN 2582-8266

In the fast-changing omnichannel retailing present, companies have to deal with and analyze data that comes from various customer touchpoints in digital and physical retailing. Business Intelligence (BI) dashboards are also essential in the effort to synthesize this information and turn it into actionable information. But with the growing variety of devices and platforms, not to mention desktop terminals to mobile apps, the smooth functionality of dashboards is becoming problematic. The given paper focuses on the optimization of BI dashboards to guarantee a cross-platform experience, usability, and responsiveness in the environment of omnichannel retailing. It explores the constraints that architecture, technology, and user interface impose, as well as offers solutions to them, which involve responsive design frameworks, real-time data pipelines, modular dashboard components, and AI-assisted personalization. The use of implementation case studies and emerging trends reveals how adaptive, secure, and intelligent dashboards could enable real-time decision making and data democratization within distributed retailing organizations. In its conclusion, the paper highlights the strategic role of cross-platform optimization in achieving sustainability, competitiveness, and flexibility in operations in omnichannel retail.