通过人工智能提高餐饮服务效率和个性化:未来趋势与挑战

M.K. Murugeah
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引用次数: 1

摘要

人工智能(AI)通过提供创新解决方案来提高运营效率和个性化客户体验,正日益推动餐饮服务业的变革。本摘要探讨了机器学习、预测分析和机器人技术等人工智能技术对酒店运营各个方面的变革性影响。人工智能驱动的自动化可简化厨房流程、优化库存管理并降低运营成本,从而提高服务的一致性和盈利能力(Alsmadi 等人,2020 年;Li 等人,2021 年)。人工智能通过分析庞大的数据集来了解个人偏好、饮食限制和购买行为,从而促进个性化的客户互动。这种能力使餐饮企业能够提供量身定制的菜单推荐、个性化促销和互动式餐饮体验,以满足不同消费者的需求(Chen 等人,2019 年;Huang 等人,2020 年)。人工智能与餐饮服务业的融合大大提高了顾客满意度和忠诚度,同时通过有针对性的营销和运营效率提高了收入。通过利用机器学习和预测分析等人工智能技术,餐饮企业可以量身定制产品,满足个人偏好并预测消费者行为,从而建立更牢固的客户关系。此外,人工智能在这一领域的未来发展轨迹还包括物联网集成、AR 应用和区块链技术。这些创新将通过优化效率、丰富客户互动和确保强大的供应链透明度来进一步改变运营。例如,物联网设备将促进实时数据收集和分析,从而提高库存管理的精确度,优化资源配置,有效满足需求波动。AR 应用将提供身临其境的用餐体验,让顾客能够与数字菜单互动或观看烹饪演示。区块链技术将提高透明度和可追溯性,确保食品安全和符合监管标准。这些创新技术将共同帮助餐饮企业在激烈的市场竞争中实现创新和脱颖而出,最终塑造全球餐饮体验的未来,进一步优化运营并提高供应链管理的透明度(Jiang 等人,2023 年;Wang 等人,2023 年)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing efficiency and Personalization in Food and Beverage Service through AI: Future Trends and Challenges
Artificial Intelligence (AI) is increasingly revolutionizing the food and beverage service industry by offering innovative solutions to enhance operational efficiency and personalize customer experiences. This abstract explores the transformative impact of AI technologies such as machine learning, predictive analytics, and robotics on various aspects of hospitality operations. AI-driven automation streamlines kitchen processes, optimizes inventory management, and reduces operational costs, thereby improving service consistency and profitability (Alsmadi et al., 2020; Li et al., 2021).AI facilitates personalized client interactions by analyzing vast datasets to understand individual preferences, dietary restrictions, and purchasing behaviors. This capability empowers establishments to offer tailored menu recommendations, personalized promotions, and interactive dining experiences that cater to diverse consumer needs (Chen et al., 2019; Huang et al., 2020). AI's integration into the food and beverage service industry significantly enhances customer satisfaction and loyalty while concurrently boosting revenue through targeted marketing and operational efficiencies. By leveraging AI technologies such as machine learning and predictive analytics, establishments can tailor offerings to meet individual preferences and anticipate consumer behavior, thereby fostering stronger customer relationships. Moreover, the future trajectory of AI in this sector foresees advancements in IoT integration, AR applications, and blockchain technology. These innovations are set to further transform operations by optimizing efficiency, enriching customer interactions, and ensuring robust supply chain transparency. IoT devices, for instance, will facilitate real-time data collection and analysis, thereby enhancing inventory management precision and optimizing resource allocation to meet demand fluctuations effectively. AR applications will offer immersive dining experiences, allowing customers to interact with digital menus or view culinary presentations. Blockchain technology will enhance transparency and traceability, ensuring food safety and compliance with regulatory standards. Together, these innovations will enable food and beverage establishments to innovate and differentiate themselves in a competitive market landscape, ultimately shaping the future of dining experiences worldwide to further optimize operations and enhance transparency in supply chain management (Jiang et al., 2023; Wang et al., 2023).
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