Real-Time GenAI Dashboards for End-to-End Retail Supply Chain Optimization (Published)
The incorporation of Generative Artificial Intelligence (GenAI) in real-time dashboard systems is revolutionizing the working environment of retail supply chains. This paper presents an in-depth study of GenAI-enabled dashboards that optimize the end-to-end supply chain by processing real-time data, providing predictive analytics, and enabling fast, intelligent visualization. By addressing the issues of stockouts, inefficient lead times, and checkout delays, the paper explores how streaming information directly provided by systems such as point-of-sale systems, IoT sensors, and inventory platforms can be analyzed in real time using powerful AI models to deliver practical solutions when needed. It also describes the architecture of these systems and emulates their impact on supply chain visibility, adaptability, and customer experience. Within the given paper, it is possible to determine the fundamental deficiencies of current literature and/or practice (specifically, poor utilization of GenAI towards interactive, operational settings). Evidence suggests that combining explainable AI, automation, and user-centered design is critical to facilitating more rapid decision-making, strategic fit, and a competitive edge in the contemporary retail setting.
Keywords: AI dashboards, GenAI, Real-time Analytics, Supply chain visibility, checkout automation, streaming
Transforming Logistics Operations Through Cloud-Based Systems Integration (Published)
The integration of cloud-based systems is fundamentally transforming logistics operations by connecting previously isolated components across global supply networks. This integration directly impacts the physical movement of goods by synchronizing transportation networks, distribution center operations, and material handling processes. Organizations implementing cloud-based integration experience substantial improvements in fleet utilization, warehouse efficiency, and cross-docking operations. Transportation management systems optimize routing and carrier selection while warehouse and yard management systems enhance the physical handling of products. The architectural approaches powering these transformations enable real-time coordination of physical assets, from trucks and containers to forklifts and automated storage systems. Through real-world implementations, logistics providers demonstrate that cloud integration delivers measurable benefits in transportation network optimization, distribution center throughput, and inventory positioning, significantly reducing the physical distance products travel while improving service levels. This synchronized ecosystem enables logistics providers to effectively navigate increasingly complex global supply chains while optimizing the movement, storage, and handling of physical goods.
Keywords: Cloud integration, Supply chain visibility, logistics optimization, real-time data exchange, systems interoperability
Smart Supply Chain Visibility and Predictive Logistics: A Framework for Modern Enterprise Management (Published)
Smart supply chain visibility and predictive logistics represent a transformative framework for modern enterprise management, addressing the escalating complexities of global trade networks and heightened customer expectations. By integrating Internet of Things (IoT) technologies, real-time tracking systems, and artificial intelligence-based demand forecasting with SAP S/4HANA and external logistics providers, organizations can transition from reactive to proactive operations. The comprehensive framework leverages SAP Business Technology Platform services, including SAP IoT Services, SAP Event Mesh, SAP AI Core, and SAP Integration Suite to create a cohesive ecosystem enabling end-to-end visibility. The implementation follows a systematic workflow transforming raw data into actionable intelligence through acquisition, event processing, predictive analysis, cross-system synchronization, and continuous learning mechanisms. This transformation delivers substantial benefits across operational efficiency, service levels, inventory optimization, risk mitigation, and sustainability dimensions. While implementation challenges related to data quality, integration complexity, change management, security concerns, and ROI justification exist, organizations can maximize success through thoughtful planning and strategic approaches, ultimately achieving competitive advantages through enhanced resilience, agility, and customer responsiveness.
Keywords: Artificial Intelligence, Digital Transformation, IoT integration, Supply chain visibility, predictive logistics