Tools & Platforms
Fast-Food Chains Leverage AI for Supply Chain Efficiency, Cost Savings
Fast-food chain Juici Patties, which operates more than 70 locations in Florida, New York, and Jamaica, started on the island nation as a family kitchen in 1978. When the chain expanded into the US last year, it experienced stockouts.
Executives knew they needed a different strategy — one with advanced technology to scale their business, manage franchises, and sell thousands of patties each day, Stuart Levy, the company’s chief technology officer, told Business Insider.
Today, Juici Patties uses AI’s predictive and proactive features to prevent disruptions before they occur.
“AI is helping to keep our distribution centers stocked with enough of our branded packaging to meet demand,” Levy said.
Indeed, AI technology is making its way into quick-service and fast-casual restaurant operations. AI can use data to form predictions about customer orders, then generate insights for leaders on how to manage inventory and operations.
Domino’s Pizza and Microsoft teamed up to create a generative-AI assistant that saves managers time on inventory management and ingredient ordering. Starbucks also inked a deal with Microsoft to use genAI in its product development. And Yum Brands, the parent company of KFC, Taco Bell, and others, partnered with Nvidia on AI for internal tasks such as labor management and analytics processing.
For many quick-service restaurants, “their entire brand is built on speed and efficiency,” said Spencer Michiel, the restaurant technology advisor at Back of House, a resource for restaurant tech solutions. “If there’s anything that can help them with speed, efficiency, and lower cost, they’re going to jump all over it.”
Data-rich restaurants layer on AI
Restaurants are “extremely data-rich,” Michiel said, which makes them well-suited to adopt AI. Major fast-food chains already have standard operating procedures to purchase based on demand, but AI takes that to the next level with forecasting abilities that more accurately predict demand and inform supply.
With AI’s forecasting capabilities, restaurants can predict what customers might order and use this data to buy ingredients, a notoriously tricky part of restaurant supply chain management.
“The biggest thing that restaurants do badly is purchase,” said Stephen Zagor, a consultant focused on restaurants and food businesses and an adjunct assistant professor of business at Columbia Business School.
AI draws from quick-service restaurants’ internal point-of-sale data, such as sales trends and which products customers tend to buy at the same time. Then, an AI algorithm combines this data with external factors like the weather or local events.
“The beauty of AI is it’s taking forecasted demand and turning that into a reaction all the way through the supply chain,” Zagor said.
For example, AI can deliver granular data by location. For a restaurant right off an interstate, AI could predict that travel will slow down on certain days. Seeing that prediction, restaurant managers could decide to drop their inventory levels and purchase fewer items, Zagor said.
He named McDonald’s as one quick-service restaurant that uses AI to maximize everything from its point-of-sale to its supply chain. The fast-food giant has partnered with Google Cloud and IBM on various AI solutions.
When it comes to data and AI, the level of standardization across major chains puts them at an advantage over smaller franchises and independent restaurants.
A mom-and-pop restaurant may not have “the time, the bandwidth, the skills, the knowledge” to gather data and create an action plan, Michiel said. Subscribing to software can cost hundreds of dollars each month, presenting financial barriers to small businesses. Any new back-of-house or supply chain software would need to integrate with existing point-of-sale systems. If done incorrectly, the result could be data loss or lag, “and it’s going to be frustrating,” Michiel said.
Serving up efficiency and financial gains
AI’s predictive power can also help minimize waste in restaurant supply chains. If a restaurant orders too much, it could have to discard unused or expired food. This could require the business to increase meal costs to compensate for the loss, according to Michiel.
“Food waste is just a killer,” Michiel said. “Over-ordering is straight loss. There’s no way you’re going to recover that cost.”
Controlling costs is especially critical for fast-food chains, which order at scale and sell low-priced products. Making just 5 cents more on an item, or making 5 cents fewer, “is a big deal,” Zagor said.
AI can also promote cost savings by flagging if a particular ingredient swap could result in higher profits without sacrificing taste or quality. The technology “smooths out” a restaurant’s ability to purchase inventory while still keeping customer satisfaction top of mind, Zagor said.
“You can get good profit, and the customer is going to be happy,” Zagor said. “It’s win-win.”
Levy said Juici Patties’ AI implementation into its point-of-sale system and supply chain was time-consuming, involved some growing pains, and sparked fears about replacing the workforce with AI. He acknowledged that “AI isn’t flawless.”
Now that the technology is in place, though, Juici Patties has seen a boost in operational efficiency, Levy said. In one instance, the AI revealed that customers wanted to purchase food earlier in the day, before Juici Patties locations were open.
“We were missing potential sales during earlier hours of the day,” Levy said. The restaurant chain acted upon that information and adjusted its opening times. The result: “a consistent increase in daily sales,” Levy said.
The Raspberry Pi Foundation’s analysis presents coding as not merely a vocational skill but a fundamental literacy that develops critical thinking, problem-solving abilities, and technological agency — competencies argued to be increasingly vital as AI systems permeate all aspects of society. The foundation emphasizes that while AI may automate certain technical tasks, human oversight remains essential for ensuring the safety, ethics, and contextual relevance of computer-generated solutions.
For educators, parents, and policymakers, this report provides timely insights into preparing younger generations for an AI-integrated future.
Image Credit: Raspberry Pi Foundation
AI dishes up savings and smiles at KFC and Pizza Hut
Last updated:
Edited By
Mackenzie Ferguson
AI Tools Researcher & Implementation Consultant
Yum China, the operator of popular fast-food franchises like KFC and Pizza Hut, is diving into the AI world to enhance efficiency and profitability. The company is leveraging AI technology to optimize everything from supply chain processes to in-store operations. As a result, customers can expect faster service and more personalized experiences. This tech rollout represents a significant move towards incorporating cutting-edge technology into everyday business operations.
Background and Context
Yum China, the operator of well-known fast-food chains such as KFC and Pizza Hut, is leveraging artificial intelligence to enhance efficiency and drive profitability in its operations. By incorporating AI technologies, Yum China aims to streamline processes and optimise various aspects of its business strategies. This move not only highlights the company’s commitment to innovation but also its adaptability in an ever-evolving business landscape. For more details on this initiative, you can check the original source here.
In a rapidly changing market, such technological advancements are indispensable for businesses aiming to stay competitive. Yum China’s integration of AI is a strategic move to not only increase operational efficiency but also enhance customer experience, allowing the company to better respond to consumer needs and preferences. This adoption of AI showcases a growing trend among major corporations to harness technology for maintaining relevance and achieving business goals in a digital age.
The initiative by Yum China to embrace AI technologies is also reflective of the broader shift within the restaurant industry towards automation and data-driven decision-making. As companies look to streamline operations and improve margins, artificial intelligence offers a pathway to achieve these objectives. This transformation is crucial for building resilience against market fluctuations and for ensuring long-term sustainability of business models.
Summary of the Article
Yum China, the operator of fast-food chains KFC and Pizza Hut, is increasingly integrating artificial intelligence (AI) into its operations as part of a strategy to enhance efficiency and profitability. The adoption of AI technologies by Yum China is a significant move in the restaurant industry, aiming to streamline processes and improve customer service dynamics. By leveraging AI, the company can not only predict customer preferences more accurately but also manage supply chains more effectively, ensure food quality, and potentially increase sales figures. This strategic embrace of AI underscores Yum China’s commitment to staying ahead in a competitive market landscape where technological adaptation is crucial for business success.
Experts suggest that Yum China’s focus on AI could set a precedent for other major players in the fast-food industry. The integration of technology in food service can lead to more personalized dining experiences, as AI systems are well-equipped to handle and interpret large sets of data related to consumer preferences. This technological shift is especially relevant given the fast-paced nature of consumer markets today, where adaptability can lead to significant competitive advantages. The proactive use of AI could also address labor challenges by shifting tedious and repetitive tasks to machines, thereby allowing human employees to focus on more value-added services.
Public reactions to Yum China’s AI initiatives are largely positive, with consumers expressing interest in faster service and more customized meal options. However, there are also discussions regarding potential job losses due to automation. This has sparked debates on how the balance between AI integration and employment opportunities can be maintained. The future implications of such technological integration suggest that other industries may follow suit, adopting AI not only to improve efficiency but also to innovate in customer service practices—creating a ripple effect throughout the economy.
Related Events
The recent initiatives undertaken by Yum China, the operator of KFC and Pizza Hut, in embracing AI technologies have sparked a series of related events across the business landscape in China. As highlighted in their recent strategies, the integration of AI is not merely about enhancing operational efficiency but also about revolutionizing customer experience. This shift is setting a precedent for other major players in the fast-food industry, encouraging them to explore similar technological advancements.
In response to Yum China’s adoption of AI, various technology firms in China are collaborating with fast-food chains to offer AI solutions tailored to the food and beverage sector. This burgeoning collaboration marks a significant trend in tech-driven partnerships aimed at bringing innovation to everyday consumer experiences. Such alliances are fostering a new era where technology and gastronomy intersect to redefine dining experiences.
Furthermore, this movement is influencing policy discussions at a governmental level, where the focus is increasingly on supporting AI development across different industries. The Chinese government’s enthusiasm for AI as a tool for modernization and efficiency is further emphasized by such corporate moves, thereby reinforcing national goals for technological advancement and self-reliance.
The ripple effects of Yum China’s AI integration are also evident in academic circles, where institutions are emphasizing AI research geared towards practical applications in commercial settings. This academic interest not only fuels future innovations but also ensures a steady supply of skilled professionals ready to meet the demands of a tech-driven economy. In essence, Yum China’s AI strategies are not just operational choices but are contributing to wider societal and economic shifts.
Expert Opinions
In the rapidly evolving landscape of the restaurant industry, particularly in China, expert opinions highlight significant opportunities for leveraging technology to enhance operational efficiency and profitability. Yum China, the operator behind fast-food giants KFC and Pizza Hut, is at the forefront of this transformation. As noted by industry analysts, the company’s strategic integration of AI solutions not only streamlines operations but also personalizes customer experiences. This move is seen as a response to the competitive market pressures and a shift towards more digital-savvy consumer preferences.
Experts have praised Yum China’s innovative approach, emphasizing that the use of AI technology could serve as a blueprint for global franchises aiming to modernize their operations. The company’s application of AI goes beyond mere efficiency. It enables a deeper understanding of consumer behavior, allowing for more targeted marketing strategies and adaptive supply chain management. Industry leaders believe that Yum China’s model could set new standards in the fast-food industry, potentially reshaping how global chains operate. More insights into this transformation can be found at the South China Morning Post.
Public Reactions
The integration of AI by Yum China, the operator of KFC and Pizza Hut in China, has sparked varied public reactions. Many customers have expressed excitement about the increased efficiency and improved service that AI can bring to their dining experience. Some diners appreciate the novelty and technological advancement, which they believe could streamline operations and enhance their overall experience at these popular food chains.
However, not all reactions have been positive. Some consumers have voiced concerns about privacy and data security, as AI systems often require extensive data collection to function effectively. These customers are wary of how their information might be used or shared and are calling for clearer policies and assurances from Yum China regarding data protection.
Moreover, there is a segment of the public that is apprehensive about the potential impact of AI on employment. With AI taking on tasks traditionally handled by human workers, concerns about job displacement have arisen, leading to discussions on how Yum China plans to balance technology integration with human resource management. This sentiment is shared by many globally, reflecting a broader anxiety about the rise of automation in various industries.
Overall, while the use of AI in Yum China’s operations presents exciting opportunities for innovation and growth, it also highlights significant issues that resonate with a global audience. For an in-depth look at Yum China’s AI strategy and public reaction, the South China Morning Post provides more insights here.
Future Implications
The integration of artificial intelligence (AI) into business operations is increasingly transforming industries across the globe. Yum China, the operator of fast-food giants like KFC and Pizza Hut, is a prime example of this trend. By leveraging AI to streamline their processes, they are setting a precedent for other companies to follow. This move is expected to significantly enhance their operational efficiency and profitability, as highlighted in a detailed article by the South China Morning Post.
Looking ahead, the adoption of AI by Yum China could have broader implications for the fast-food industry both in China and globally. As other companies observe Yum China’s successful integration of AI technologies, there may be a ripple effect, prompting more industry players to invest in AI solutions to remain competitive. This could lead to a revolution in customer service, supply chain management, and even menu personalization, driven by AI-driven insights.
Moreover, the shift towards AI can potentially reshape employment dynamics within the sector. While automation may reduce certain manual roles, it also opens up new opportunities for tech-savvy professionals who can develop, manage, and optimize these AI systems. This transformation necessitates a recalibration of workforce skills and continued education for employees to adapt to a tech-driven environment, as noted in discussions surrounding similar advancements.
Hangzhou, the picturesque capital of Zhejiang Province, is quickly emerging as a key pillar in China’s artificial intelligence (AI) revolution. Once known primarily for its cultural heritage and as the headquarters of e-commerce giant Alibaba, the city is now transforming into a powerful AI hub, driven by visionary government policies, a dynamic startup ecosystem, cutting-edge academic institutions, and high levels of private and public investment. Its rapid evolution exemplifies China’s broader strategy to lead the global race in artificial intelligence.
Government Initiatives and Strategic Policy Support
A major driver behind Hangzhou’s AI rise is the strong backing of the Chinese government, both at national and provincial levels. The “Hangzhou AI Industry Chain High-Quality Development Action Plan” has set bold objectives: certifying more than 2,000 new high-tech enterprises, launching over 300 large-scale technological projects, and injecting an impressive 300 billion RMB (approx. US$40 billion) into innovation annually. This funding supports AI research, development of cutting-edge applications, infrastructure, and talent cultivation.
Further cementing Hangzhou’s AI ambitions is the revitalization of “Project Eagle,” a policy initiative that allocates 15% of industrial development funds to future industries, with AI being a priority. These initiatives are not only helping to establish Hangzhou as a hub of AI innovation but are also attracting domestic and international investors eager to tap into this growth.
The Rise of the “Six Little Dragons”
One of the most notable signs of Hangzhou’s AI success story is the emergence of six pioneering startups, collectively referred to as the “Six Little Dragons.” These companies represent the city’s growing diversity and sophistication in AI application:
DeepSeek – Known for its work in natural language processing and large language models.
Game Science – A game development firm leveraging AI in next-gen interactive experiences.
Unitree Robotics – Specializes in agile AI-powered robots for various industrial and consumer applications.
DEEP Robotics – Develops quadruped robots capable of complex navigation and movement, often used for security and research.
BrainCo – Focuses on brain-computer interface (BCI) technologies that merge neuroscience and machine learning.
Manycore Tech – A hardware and software AI solutions provider with strengths in chip design and high-performance computing.
These companies are not only rapidly scaling within China but are also attracting international attention for their technological advancements and commercialization potential. Their presence underscores Hangzhou’s strength in fostering both technical excellence and business scalability.
Academic Foundations and Skilled Talent Pipeline
Hangzhou’s AI ecosystem is further bolstered by a solid academic foundation. Zhejiang University, one of China’s top-tier institutions, plays a critical role in producing AI talent and thought leadership. The university houses cutting-edge research labs and has established partnerships with top tech firms for collaborative innovation.
Graduates from Zhejiang University and other local institutions often go on to found startups or take leadership roles in the AI industry. The close connection between academia and industry ensures a continuous exchange of ideas, innovation, and expertise, which is essential for sustained growth in emerging technologies like AI.
In addition, Hangzhou has invested in AI-focused education and vocational training programs to ensure that its workforce remains competitive. This comprehensive talent strategy allows the city to meet the growing demand for data scientists, machine learning engineers, and AI researchers.
Industry Collaboration and Corporate Investments
Beyond startups and academia, major corporate players are betting big on Hangzhou’s AI future. Most notably, Alibaba, headquartered in the city, has been at the forefront of this transformation. Under the leadership of Eddie Wu, the company has pledged to deepen its involvement in generative AI and has launched internal initiatives aimed at developing new AI products and services.
In parallel, Alibaba has worked to attract foreign capital to Hangzhou’s AI sector, especially in connection with the Six Little Dragons. Following Jack Ma’s involvement in a high-level business symposium with President Xi Jinping, Alibaba’s influence in shaping Hangzhou’s AI roadmap has only increased.
Other corporations and venture capital firms are also taking notice. Investment funds are flowing into AI development zones, incubators, and innovation labs across Hangzhou, helping to establish a robust support system for tech entrepreneurship and research.
Infrastructure, Challenges, and Long-Term Outlook
Despite these promising developments, Hangzhou faces several challenges that come with rapid growth. Talent retention remains a concern, as other Chinese cities like Beijing and Shenzhen compete for the same AI professionals. Furthermore, as AI technology demands powerful computing infrastructure, continued upgrades in data centers, power grids, and 5G connectivity are essential.
Additionally, navigating regulatory uncertainty and ensuring responsible AI development will be key for Hangzhou to maintain sustainable growth. The city must also remain agile in adapting to global shifts, including trade policies, technology standards, and geopolitical tensions that may impact international partnerships and supply chains.
Nonetheless, the city’s proactive governance, talent pool, and innovative momentum offer strong indicators that Hangzhou is well-positioned to become a global AI innovation hub. As China continues to push its national AI ambitions, Hangzhou stands out as a leading example of how a regional city can emerge as a technological powerhouse through visionary planning, strong public-private partnerships, and relentless innovation.
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