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          星巴克CEO稱,“AI咖啡師”可實時輔助咖啡制作

          Nick Lichtenberg
          2025-10-20

          星巴克首席執行官布萊恩·尼科爾證實,這家咖啡巨頭正在深入開展人工智能試驗。

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          星巴克首席執行官布萊恩·尼科爾。圖片來源:Eugene Gologursky/Getty Images for Fast Company

          星巴克(Starbucks)首席執行官布萊恩·尼科爾證實,這家咖啡巨頭正在深入開展人工智能試驗。他透露,公司內部已開發出可實時協助員工工作的系統,并暗示未來星巴克App或將具備“先于顧客下單”就能預測點單的能力。

          在舊金山舉行的賽富時(Salesforce)年度技術盛會Dreamforce上,尼科爾強調,盡管星巴克目前在AI領域仍處于學習和試驗階段,但該技術已經開始助力公司實現再次成為“全球最佳客戶服務企業”的目標。

          目前,星巴克內部規模化應用中最具影響力的AI創新,是一款名為“綠點助手”的工具,可充當“咖啡師助手”。這套內部系統在門店的日常運營管理中發揮著重要作用。如果員工遇到設備問題,或需要了解“某種飲品的制作方法”,綠點助手會利用AI技術快速提供準確答案或解決方案。星巴克方面向《財富》雜志透露,綠點助手自今年6月啟動試點以來,已在公司內部逐步推廣應用。

          盡管人工智能技術取得顯著進展,尼科爾仍迅速否認了配備“全機器人員工”的設想。他表示“我們目前還遠未達到那種程度”,并強調星巴克一直致力于讓“更多伙伴回歸門店,用‘手藝和匠心’為顧客提供真實、有溫度的體驗,而非機械冰冷的服務”。AI的作用并非取代人類,而是用來釋放生產力,幫助員工更快速、更高效地完成各項任務。

          后臺算法的威力

          AI能夠實時輔助咖啡師制作飲品、減少服務摩擦,其核心在于一項名為Smart Q的后臺技術。該系統解決了此前四個不同點單渠道(汽車餐廳、外賣配送、移動端下單自提、柜臺點單)給門店造成的運營“混亂”。尼科爾表示,他剛到星巴克任職時就發現,訂單處理“完全遵循先來先出的原則,造成了諸多瓶頸”,而這正是他努力改進的重點。

          Smart Q通過在最優時段優先處理適當的訂單來疏通瓶頸。該系統的目標是提高速度與準確性:確保堂食或汽車餐廳顧客可在四分鐘內拿到飲品,并確保移動端訂單準時交付。顧客還可以通過數字顯示屏看到訂單狀態,從“已接單”、“制作中”到“已完成”,實時追蹤訂單進度。

          預測未來,實現無摩擦點單

          展望未來,尼科爾表示,星巴克App將成為AI深度融合的重點領域,尤其是在預測顧客點單方面。目前,該應用已具備便捷功能,允許用戶一鍵復購最近一次的訂單。但在他看來,該功能仍有切實改進的空間,可讓點單過程“更快捷、更順暢”。

          尼科爾表示,按照他的設想,未來星巴克將為顧客提供幾乎沒有摩擦的體驗,AI驅動系統可能實現深度無縫整合,顧客甚至無需打開應用。他舉例稱,顧客只需對著手機說:“嗨,我要買一杯星巴克,10分鐘后到店取”,飲品就會在其到達時準備就緒。這種更準確地“預判顧客消費意向的能力”,以及語音下單功能,正是星巴克計劃利用AI提升個性化服務與效率的方向。

          這些AI舉措是尼科爾上任CEO一年多來推動戰略轉型的重要組成部分。星巴克正將戰略重心從效率與任務導向,轉向重新聚焦于提供卓越的客戶服務體驗,確保咖啡師能獲得充足的資源和支持,為顧客制作更具個性化的飲品。例如,7月,尼科爾叫停了強調“減少人際互動、增加移動端下單自提點”的策略,轉而回歸由傳奇CEO霍華德·舒爾茨所倡導的“第三空間”理念,讓門店再次成為人們放松、社交與交流的場所。到了10月,尼科爾進一步加碼,以10億美元重組計劃全面推動這一戰略落地。

          與此同時,星巴克向《財富》雜志強調,公司正努力簡化菜單,聚焦“更少但更受歡迎的精品,并力求完美呈現”。此舉旨在釋放創新空間,有助于縮短顧客等候時間,并提升產品質量與一致性。7月,公司啟動名為“Starting 5”的項目,在新產品與創新方案全國推廣前由五家咖啡店先行試點,以確保創新具有可持續性并達到高質量標準。

          尼科爾在Dreamforce大會上表示,星巴克還在其他業務環節探索AI的應用,包括視覺識別、庫存管理、供應鏈管理、需求預測與排班系統等。不過,這些應用目前尚未實現大規模推廣。尼科爾相信,AI的出現無疑是提升效率的重要契機,并表示AI已經在技術領域產生“重大影響”,例如大幅提升了代碼生成速度。(財富中文網)

          《財富》雜志使用生成式AI輔助完成本文的初稿。編輯在發表前已核實信息的準確性。

          譯者:劉進龍

          審校:汪皓

          星巴克(Starbucks)首席執行官布萊恩·尼科爾證實,這家咖啡巨頭正在深入開展人工智能試驗。他透露,公司內部已開發出可實時協助員工工作的系統,并暗示未來星巴克App或將具備“先于顧客下單”就能預測點單的能力。

          在舊金山舉行的賽富時(Salesforce)年度技術盛會Dreamforce上,尼科爾強調,盡管星巴克目前在AI領域仍處于學習和試驗階段,但該技術已經開始助力公司實現再次成為“全球最佳客戶服務企業”的目標。

          目前,星巴克內部規模化應用中最具影響力的AI創新,是一款名為“綠點助手”的工具,可充當“咖啡師助手”。這套內部系統在門店的日常運營管理中發揮著重要作用。如果員工遇到設備問題,或需要了解“某種飲品的制作方法”,綠點助手會利用AI技術快速提供準確答案或解決方案。星巴克方面向《財富》雜志透露,綠點助手自今年6月啟動試點以來,已在公司內部逐步推廣應用。

          盡管人工智能技術取得顯著進展,尼科爾仍迅速否認了配備“全機器人員工”的設想。他表示“我們目前還遠未達到那種程度”,并強調星巴克一直致力于讓“更多伙伴回歸門店,用‘手藝和匠心’為顧客提供真實、有溫度的體驗,而非機械冰冷的服務”。AI的作用并非取代人類,而是用來釋放生產力,幫助員工更快速、更高效地完成各項任務。

          后臺算法的威力

          AI能夠實時輔助咖啡師制作飲品、減少服務摩擦,其核心在于一項名為Smart Q的后臺技術。該系統解決了此前四個不同點單渠道(汽車餐廳、外賣配送、移動端下單自提、柜臺點單)給門店造成的運營“混亂”。尼科爾表示,他剛到星巴克任職時就發現,訂單處理“完全遵循先來先出的原則,造成了諸多瓶頸”,而這正是他努力改進的重點。

          Smart Q通過在最優時段優先處理適當的訂單來疏通瓶頸。該系統的目標是提高速度與準確性:確保堂食或汽車餐廳顧客可在四分鐘內拿到飲品,并確保移動端訂單準時交付。顧客還可以通過數字顯示屏看到訂單狀態,從“已接單”、“制作中”到“已完成”,實時追蹤訂單進度。

          預測未來,實現無摩擦點單

          展望未來,尼科爾表示,星巴克App將成為AI深度融合的重點領域,尤其是在預測顧客點單方面。目前,該應用已具備便捷功能,允許用戶一鍵復購最近一次的訂單。但在他看來,該功能仍有切實改進的空間,可讓點單過程“更快捷、更順暢”。

          尼科爾表示,按照他的設想,未來星巴克將為顧客提供幾乎沒有摩擦的體驗,AI驅動系統可能實現深度無縫整合,顧客甚至無需打開應用。他舉例稱,顧客只需對著手機說:“嗨,我要買一杯星巴克,10分鐘后到店取”,飲品就會在其到達時準備就緒。這種更準確地“預判顧客消費意向的能力”,以及語音下單功能,正是星巴克計劃利用AI提升個性化服務與效率的方向。

          這些AI舉措是尼科爾上任CEO一年多來推動戰略轉型的重要組成部分。星巴克正將戰略重心從效率與任務導向,轉向重新聚焦于提供卓越的客戶服務體驗,確保咖啡師能獲得充足的資源和支持,為顧客制作更具個性化的飲品。例如,7月,尼科爾叫停了強調“減少人際互動、增加移動端下單自提點”的策略,轉而回歸由傳奇CEO霍華德·舒爾茨所倡導的“第三空間”理念,讓門店再次成為人們放松、社交與交流的場所。到了10月,尼科爾進一步加碼,以10億美元重組計劃全面推動這一戰略落地。

          與此同時,星巴克向《財富》雜志強調,公司正努力簡化菜單,聚焦“更少但更受歡迎的精品,并力求完美呈現”。此舉旨在釋放創新空間,有助于縮短顧客等候時間,并提升產品質量與一致性。7月,公司啟動名為“Starting 5”的項目,在新產品與創新方案全國推廣前由五家咖啡店先行試點,以確保創新具有可持續性并達到高質量標準。

          尼科爾在Dreamforce大會上表示,星巴克還在其他業務環節探索AI的應用,包括視覺識別、庫存管理、供應鏈管理、需求預測與排班系統等。不過,這些應用目前尚未實現大規模推廣。尼科爾相信,AI的出現無疑是提升效率的重要契機,并表示AI已經在技術領域產生“重大影響”,例如大幅提升了代碼生成速度。(財富中文網)

          《財富》雜志使用生成式AI輔助完成本文的初稿。編輯在發表前已核實信息的準確性。

          譯者:劉進龍

          審校:汪皓

          Starbucks CEO Brian Niccol confirmed the coffee giant is deeply immersed in artificial intelligence (AI) experimentation, revealing details about internal systems designed to assist staff in real time and pointing toward a future where the Starbucks app may soon anticipate customer orders before they are even placed.

          Speaking at Dreamforce, Salesforce’s annual technology gathering in San Francisco, Niccol emphasized that while Starbucks is currently focused on learning and experimentation within the AI space, the technology is already helping the company execute its goal of becoming the “world’s greatest customer service company again.”

          The most impactful AI development currently at scale within the company is a tool known as the “green dot,” which acts as a “kind of barista assistant.” This internal system is crucial for helping store leaders manage daily operations. If a partner encounters a problem with equipment or needs guidance on “how to build a certain drink,” the green dot uses AI to quickly deliver the right answer or solution. A representative for Starbucks told Fortune that green dot was piloted beginning in June and has been rolling out more widely since then.

          Despite the advancements in artificial intelligence, Niccol was quick to squash any notions of a fully robotic staff, saying “we’re not near that right now” and emphasizing that Starbucks has been focused on putting “more partners back into our stores to give people a great, not robotic” experience rooted in “real craft.” Instead, AI is being leveraged to unleash productivity and help human employees accomplish tasks more quickly and efficiently.

          Behind-the-scenes sequencing

          A key component of how AI assists baristas with making coffee in real time and reducing service friction is a behind-the-scenes technology called “smart Q.” This system addresses the operational “chaos” that previously existed when orders—which can come from four different access modes: drive-thru, delivery, mobile order pickup, and the counter. When he arrived at Starbucks, Niccol said he found that orders were “all first in first, out—it created a lot of bottlenecks,” and that’s what he’s been working hard to remedy.

          Smart Q works to smooth out these bottlenecks by prioritizing the correct order at the optimal time. The goal is speed and accuracy: to ensure that drinks are delivered in under four minutes for in-cafe or drive-thru customers, and on time for mobile orders. Customers may also see evidence of this system via digital screens that display the order status as “received,” “in progress,” or “ready,” which helps customers track their drink’s progress.

          Predicting the future and frictionless ordering

          Looking ahead, Niccol identified the Starbucks app as a major focus for future AI integration, particularly in terms of predicting customer orders. Currently, the app offers a seamless feature allowing users to select their most recent order. However, the CEO sees a real opportunity to iterate on this feature, making the ordering process “even faster [and] even more seamless.”

          Niccol said he envisions a future where friction is entirely removed from the experience, potentially integrating AI-driven systems so seamlessly that customers might not even need to open the app. He suggested that a user could simply talk into their phone, saying, “Hey I need my Starbucks order I’ll be there in 10 minutes,” and the drink would be ready upon arrival. This ability to be more “anticipating what we know you’re going to order,” along with the implementation of voice ordering, is where the brand plans to utilize AI to enhance personalization and speed.

          These AI initiatives are part of the larger strategic shift under Niccol, who took the CEO role over a year ago. The company is shifting its primary focus from efficiency and tasks to a renewed emphasis on delivering an exceptional customer service experience, ensuring that baristas are well-equipped to deliver personalized drinks. For instance, in July Niccol called time on a strategy emphasizing less personal interaction and more mobile-only pickup locations, pivoting toward a return to the “third space” made famous under legendary Starbucks CEO Howard Schultz. Niccol doubled down on the strategy with a $1 billion restructuring plan in October.

          At the same time, Starbucks stressed to Fortune that the company is working to simplify its menu, focusing on “fewer, more popular items, executed with excellence.” This should allow space for innovation, help reduce wait times, and improve quality and consistency. ?In July, the company introduced the “Starting 5” program, in which five coffeehouses test innovations before they are rolled out nationally, ensuring that innovations are sustainable and of high quality.

          Starbucks is also experimenting with AI across other facets of the business, Niccol said at Dreamforce, including vision, inventory, supply chain management, forecasting, and scheduling. However, these applications are not yet fully implemented at scale. Niccol said he believes AI is a definite opportunity to enhance efficiency, stating that they are already seeing a “big impact” in technology areas, such as the ability to generate code much faster.

          For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.

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