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          英偉達與百勝餐飲合作,利用AI更高效地提供點餐服務

          Sasha Rogelberg
          2025-03-22

          塔可鐘母公司百勝餐飲集團將英偉達的人工智能技術整合到得來速訂餐和內部運營當中。

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          圖片來源:Joe Raedle—Getty Images

          ? 英偉達(Nvidia)宣布與塔可鐘(Taco Bell)和肯德基(KFC)等公司的母公司百勝餐飲集團(Yum! Brands)達成一項合作,將把人工智能技術引入該快餐連鎖品牌的“得來速”點餐系統,同時為顧客和員工提供建議以縮短等待時間、提升效率。麥當勞(McDonald’s)與溫迪漢堡(Wendy’s)此前也嘗試整合AI技術,但效果參差不齊,部分顧客抱怨點餐錯誤頻發。

          如今塔可鐘的顧客可以蘸著鱷梨醬享用玉米片——或者說,在半導體芯片的助力下點單鱷梨醬。

          科技巨頭英偉達周二宣布,塔可鐘、肯德基和必勝客的母公司百勝餐飲集團將與其合作,將人工智能技術應用于點餐與運營系統。

          百盛餐飲集團將利用新技術處理得來速與電話訂單,并通過推薦制作時間短的餐品縮短等待時長。百勝餐飲的發言人對《財富》雜志表示,該技術還能統計得來速車流數量,為連鎖店管理者制定行動計劃,并分析高業績門店的運營模式。該餐飲巨頭計劃年底前在500家門店部署這項新技術。

          與百勝餐飲的合作,是英偉達首次涉足餐飲業合作,這將助力百勝擴大其AI平臺“Byte by Yum!”的規模。這款AI驅動軟件于上月發布,旨在優化每年超3億筆數字交易。公司數據顯示,百勝餐飲全球61,000家門店中,約25,000家已使用至少一款Byte by Yum!產品,有效縮短備餐時間并優化外賣追蹤。

          過去幾年,英偉達和百勝餐飲業績亮眼:英偉達2024財年營收暴漲126%,達到609億美元,但持續的熱度正因競爭加劇與經濟不確定性而降溫;百勝餐飲營收同比增長7%,達到70.7億美元,這主要得益于塔可鐘的銷售增長。

          快餐業AI應用的缺點

          對連鎖快餐業而言,將AI融入點餐系統是一項極具吸引力的布局,因為自動化技術可節省人力成本、提升點餐準確率與運營效率。自2019年起,麥當勞通過收購或投資AI公司以加速訂單處理,2023年開始使用谷歌云(Google Cloud)進行實時數據分析。溫迪漢堡去年也宣布了類似計劃,將AI植入數字菜單。該技術可根據天氣或時段向顧客推薦餐品。

          但迄今為止,部分AI嘗試如同沒熟的薯條一樣以失敗告終。麥當勞2024年終止了與IBM為期兩年的得來速AI點餐合作,此前社交媒體上大量顧客抱怨訂單附加項嚴重錯誤,例如莫名其妙多出了九杯甜茶或黃油塊等離奇錯誤。

          溫迪漢堡的AI驅動數字菜單計劃同樣引發消費者的擔憂。人們擔心價格飆升,進而增加食物成本,但該公司對此予以否認。

          新合作前景

          賓夕法尼亞大學(UPenn)沃頓商學院營銷學教授和創新、體驗式學習及研究分析項目的負責人拉古拉姆·伊揚加爾對此次合作持樂觀態度。他對《財富》雜志表示,在過去半年,AI技術已取得進步,有望解決其他快餐連鎖遭遇的問題。

          在此期間,越來越多人更適應了AI的存在,人們開始使用ChatGPT或其他語音AI搜索工具??觳偷昝媾R顧客的抵觸或質疑也將減少。但未來AI技術與快餐點餐系統的整合成功與否,還取決于消費者是否愿意在手機和電腦之外的場景使用該技術。

          伊揚加爾表示:“關鍵在于,當消費者使用語音助手時,他們是否愿意讓這種技術滲透到生活的每個角落?”

          他認為,此次合作對雙方均具有戰略意義。百勝餐飲不是科技公司,它與英偉達的合作有助于其優化AI應用,避免浪費資源。而以芯片生產著稱的英偉達則能展現其應用靈活性——尤其在投資者持續施壓要求其匹配2.89萬億美元市值的當下。

          伊揚加爾表示:“此次合作對英偉達而言是明智之選。如何為企業客戶提供服務正是其需要探索的方向?!保ㄘ敻恢形木W)

          譯者:劉進龍

          審校:汪皓

          ? 英偉達(Nvidia)宣布與塔可鐘(Taco Bell)和肯德基(KFC)等公司的母公司百勝餐飲集團(Yum! Brands)達成一項合作,將把人工智能技術引入該快餐連鎖品牌的“得來速”點餐系統,同時為顧客和員工提供建議以縮短等待時間、提升效率。麥當勞(McDonald’s)與溫迪漢堡(Wendy’s)此前也嘗試整合AI技術,但效果參差不齊,部分顧客抱怨點餐錯誤頻發。

          如今塔可鐘的顧客可以蘸著鱷梨醬享用玉米片——或者說,在半導體芯片的助力下點單鱷梨醬。

          科技巨頭英偉達周二宣布,塔可鐘、肯德基和必勝客的母公司百勝餐飲集團將與其合作,將人工智能技術應用于點餐與運營系統。

          百盛餐飲集團將利用新技術處理得來速與電話訂單,并通過推薦制作時間短的餐品縮短等待時長。百勝餐飲的發言人對《財富》雜志表示,該技術還能統計得來速車流數量,為連鎖店管理者制定行動計劃,并分析高業績門店的運營模式。該餐飲巨頭計劃年底前在500家門店部署這項新技術。

          與百勝餐飲的合作,是英偉達首次涉足餐飲業合作,這將助力百勝擴大其AI平臺“Byte by Yum!”的規模。這款AI驅動軟件于上月發布,旨在優化每年超3億筆數字交易。公司數據顯示,百勝餐飲全球61,000家門店中,約25,000家已使用至少一款Byte by Yum!產品,有效縮短備餐時間并優化外賣追蹤。

          過去幾年,英偉達和百勝餐飲業績亮眼:英偉達2024財年營收暴漲126%,達到609億美元,但持續的熱度正因競爭加劇與經濟不確定性而降溫;百勝餐飲營收同比增長7%,達到70.7億美元,這主要得益于塔可鐘的銷售增長。

          快餐業AI應用的缺點

          對連鎖快餐業而言,將AI融入點餐系統是一項極具吸引力的布局,因為自動化技術可節省人力成本、提升點餐準確率與運營效率。自2019年起,麥當勞通過收購或投資AI公司以加速訂單處理,2023年開始使用谷歌云(Google Cloud)進行實時數據分析。溫迪漢堡去年也宣布了類似計劃,將AI植入數字菜單。該技術可根據天氣或時段向顧客推薦餐品。

          但迄今為止,部分AI嘗試如同沒熟的薯條一樣以失敗告終。麥當勞2024年終止了與IBM為期兩年的得來速AI點餐合作,此前社交媒體上大量顧客抱怨訂單附加項嚴重錯誤,例如莫名其妙多出了九杯甜茶或黃油塊等離奇錯誤。

          溫迪漢堡的AI驅動數字菜單計劃同樣引發消費者的擔憂。人們擔心價格飆升,進而增加食物成本,但該公司對此予以否認。

          新合作前景

          賓夕法尼亞大學(UPenn)沃頓商學院營銷學教授和創新、體驗式學習及研究分析項目的負責人拉古拉姆·伊揚加爾對此次合作持樂觀態度。他對《財富》雜志表示,在過去半年,AI技術已取得進步,有望解決其他快餐連鎖遭遇的問題。

          在此期間,越來越多人更適應了AI的存在,人們開始使用ChatGPT或其他語音AI搜索工具??觳偷昝媾R顧客的抵觸或質疑也將減少。但未來AI技術與快餐點餐系統的整合成功與否,還取決于消費者是否愿意在手機和電腦之外的場景使用該技術。

          伊揚加爾表示:“關鍵在于,當消費者使用語音助手時,他們是否愿意讓這種技術滲透到生活的每個角落?”

          他認為,此次合作對雙方均具有戰略意義。百勝餐飲不是科技公司,它與英偉達的合作有助于其優化AI應用,避免浪費資源。而以芯片生產著稱的英偉達則能展現其應用靈活性——尤其在投資者持續施壓要求其匹配2.89萬億美元市值的當下。

          伊揚加爾表示:“此次合作對英偉達而言是明智之選。如何為企業客戶提供服務正是其需要探索的方向?!保ㄘ敻恢形木W)

          譯者:劉進龍

          審校:汪皓

          ? Nvidia announced a partnership with Yum! Brands, the parent company of Taco Bell and KFC, which would integrate its AI tech into the fast-food chain’s drive-thru ordering systems, as well as make suggestions to both customers and staff that would improve wait times and efficiency. McDonald’s and Wendy’s have similarly integrated AI, but with mixed success, with some customers complaining of wildly incorrect orders.

          Taco Bell customers can now order guac with chips—or rather, order guac with the help of semiconductor chips.

          Yum! Brands, the restaurant conglomerate behind Taco Bell, KFC, and Pizza Hut, will partner with tech juggernaut Nvidia to incorporate AI into its ordering and operations, Nvidia announced Tuesday.

          Yum! Brands will use the tech to take drive-thru and call orders, and speed up wait times by suggesting specific menu items to customers that take a short time to prepare. The technology can also count the number of cars in a drive-thru line and generate action plans for chain managers, analyzing the practices of the best-performing locations, a Yum! Brands spokesperson told Fortune. The restaurant conglomerate plans to roll out the new tech in 500 locations by the end of the year.

          Nvidia’s partnership with Yum! Brands, its first foray into restaurant collaborations, will help the fast-food giant scale its Byte by Yum! AI-driven software launched last month with the goal of streamlining more than 300 million annual digital transactions. About 25,000 of Yum!’s 61,000 global locations use at least one Byte by Yum! product, which has helped cut down on food wait times and better track delivery orders, according to the company.

          Nvidia and Yum! Brands have both enjoyed strong years, with the tech giant reporting a 126% revenue explosion to $60.9 billion in fiscal 2024, though continued hype has tempered over fears of increased competition and economic uncertainty. Yum! saw a 7% year-over-year revenue growth to $7.07 billion in 2024, mostly thanks to Taco Bell sales.

          Fast food’s AI shortcomings

          Integrating AI into ordering systems has been a mouthwatering venture for fast-food chains, as automation technology has allowed them to save on labor costs, improve order accuracy, and improve operational efficiency. Since 2019, McDonald’s has bought or invested in AI firms to speed up order-taking, and in 2023 it began using Google Cloud for real-time data analysis. Wendy’s similarly announced plans last year to integrate AI into its digital menu. The tech would suggest certain menu items to customers based on the weather or time of day.

          So far some of these AI experiments, much like a soggy French fry, have been a flop. McDonald’s ended its two-year partnership with IBM in 2024, which had the technology taking drive-thru orders. The change came after numerous customers on social media bemoaned wildly incorrect additions to orders, from nine sweet teas to pats of butter.

          Wendy’s diners had a similar reaction to the announcement of its AI-powered digital menu, fearing it would lead to surge pricing and further drive up food costs—something the company denied.

          A fresh partnership

          Raghuram Iyengar, a professor of marketing at UPenn’s Wharton School and faculty director of innovation, experiential learning and research initiatives and analytics, is optimistic about Nvidia and Yum! Brands’ partnership. Even in the last six months, AI has advanced, hopefully enough to resolve some of the hiccups other fast-food chains encountered, he told Fortune.

          During that time, many have also grown more acclimated to AI, using ChatGPT or other voice-activated AI search tools. As a result, fast-food restaurants may have to contend less with skittish or skeptical customers. But some of the success of future AI integration into fast-food ordering will depend on consumers’ appetites to engage with the technology in areas beyond their phone or computer screen.

          “The caveat, of course, is when you think about many of these consumers interacting with these voice agents, would they want to do it in every part of their lives?” Iyengar said.

          Importantly for Nvidia and Yum! Brands, the partnership makes sense, Iyengar argued. Yum! Brands is not a tech company, and its collaboration with Nvidia could help it hone its AI applications without wasting resources. Meanwhile, Nvidia, known primarily for chip production, has the chance to prove it can also be nimble in its applications—especially as investors continue to pressure the company to live up to its sky-high market cap of $2.89 trillion.

          “This is a good bet for Nvidia itself,” Iyengar said. “How can they work on providing services to other companies?”

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