Fast-food restaurants are using their wealth of data to harness AI in their supply chains

Fast-food restaurants are increasingly leveraging artificial intelligence (AI) to enhance their supply chain operations and maximize financial performance. Juici Patties, a chain that operates over 70 locations in Florida, New York, and Jamaica, began its journey as a family kitchen in 1978 and expanded to the U.S. last year. However, they faced challenges with stockouts, prompting executives to seek advanced technological solutions to streamline their business and manage inventory effectively. Stuart Levy, the chief technology officer of Juici Patties, highlighted how AI’s predictive capabilities have revolutionized their operations. "AI is instrumental in ensuring that our distribution centers are adequately stocked with our branded packaging to meet customer demand," he stated. The integration of AI in quick-service and fast-casual restaurants is becoming more common, enabling these businesses to analyze data and forecast customer orders accurately. For example, Domino's Pizza has partnered with Microsoft to develop a generative-AI assistant that facilitates inventory management and ingredient ordering. Similarly, Starbucks has allied with Microsoft to apply generative AI in product development. Yum Brands, which owns KFC and Taco Bell, is collaborating with Nvidia to implement AI for internal processes like labor management and analytics. As Spencer Michiel, a restaurant technology advisor at Back of House, noted, speed and efficiency are crucial for quick-service restaurants. Given their data-rich nature, these establishments are well-positioned to adopt AI solutions that enhance operational efficiency and reduce costs. While traditional practices dictate purchasing based on demand, AI offers advanced forecasting that leads to better predictions and supply management. Stephen Zagor, a consultant specializing in the food industry, emphasized that AI can analyze both internal sales data and external factors, such as weather patterns and local events, to optimize inventory levels. For instance, AI could inform a restaurant near a highway that customer traffic may decrease on certain days, allowing managers to adjust their inventory accordingly. McDonald's serves as a prime example of a fast-food giant successfully employing AI to improve every aspect of its operations, from point-of-sale systems to supply chain management. Their partnerships with Google Cloud and IBM have led to various AI-driven solutions. Larger chains enjoy advantages in data standardization that smaller, independent restaurants may lack. Many smaller establishments struggle to gather and utilize data effectively due to limited resources and financial constraints. The costs associated with new technology can be prohibitive for mom-and-pop restaurants, and improper integration with existing systems can lead to data losses or operational delays. AI’s predictive capabilities also play a vital role in minimizing food waste, a significant issue for restaurants. Over-ordering can result in expired food that must be discarded, leading to financial losses. Michiel remarked, "Food waste is a killer. Over-ordering is a straight loss. There’s no way to recover that cost." For fast-food chains that operate on thin margins, controlling costs is essential. Even a slight increase or decrease in profit per item can have major implications. AI can also identify opportunities for ingredient substitutions that may enhance profitability without compromising quality. Despite the challenges Juici Patties faced during the integration of AI into their systems, Levy reported improved operational efficiency as a result. For instance, AI revealed customer interest in purchasing food earlier in the day, prompting the chain to adjust its opening hours and resulting in a significant increase in daily sales. This shift illustrates how AI can not only streamline operations but also directly enhance customer satisfaction and sales performance.