Revolutionizing industrial kitchen appliances: How data-driven supply chains enhance customer experience for U.S. food chains

Maddala, Venkata Siva Prasad (2025) Revolutionizing industrial kitchen appliances: How data-driven supply chains enhance customer experience for U.S. food chains. Global Journal of Engineering and Technology Advances, 22 (1). pp. 116-128. ISSN 2582-5003

In the U.S. food service industry, data driven supply chains are converging with advanced industrial kitchen appliances. Through technologies like Artificial Intelligence (AI), Internet of Things (IoT) and predictive analytics, businesses are improving operational efficiency and cutting waste while offering far superior customer experiences. However, traditional supply chains fail under the dynamic market demands, showing inefficiencies, delays and huge operational costs. These challenges are tackled by data driven approaches that deliver real time insights to predict maintenance, optimize inventory and build transparency. IoT and AI integrated smart appliances also improve the food quality and sustainability, personalization and speed in service delivery. Beyond customer preferences for quality and customization, this one address the industry’s transition towards the sustainable and ethical. Although high initial costs, data security and other challenges exist, these innovations are essential in a rapidly changing food service landscape as the potential benefits far outstrip any disadvantages.