Enhancing Supply Chain Resilience in Bengaluru’s Restaurant Industry through Data Analytics and Strategic Vendor Management

The restaurant industry in Bengaluru faces unique challenges in managing supply chains due to seasonal demand fluctuations, vendor reliability issues, and external risk factors such as transportation delays and labor shortages. This project analyzes supply chain dynamics in the city’s restaurant sector, focusing on demand patterns, vendor performance, and risk management strategies. Using a combination of primary survey data and secondary data from a comprehensive restaurant dataset, the study identifies critical factors impacting operational efficiency and customer satisfaction. Through detailed analysis and data visualization using Power BI, this study highlights seasonal demand peaks, vendor performance metrics, and the most significant supply chain risks, such as ingredient shortages and price volatility. Key findings suggest the importance of data-driven demand forecasting, flexible inventory management, multi-vendor sourcing, and real-time risk monitoring. By implementing these strategies, restaurants can enhance supply chain resilience, improve service quality, and mitigate operational disruptions, ultimately supporting a more stable and customer-oriented business model. The project provides actionable recommendations for restaurant managers, offering insights into strategic supply chain practices that align with industry demands and consumer expectations.