
塔吉特(Target)首席信息与产品官普拉特·韦马纳(Prat Vemana)本周以消费者身份体验了全新购物方式:他通过OpenAI的ChatGPT,在塔吉特的应用上购买了睡衣。
这位高管的崭新购物行为,反映了零售业正在发生的巨大转变。当前,行业即将迎来“黑色星期五”和一个预计美国消费额将首次突破1万亿美元的假日季。过去几十年里,消费者先是转向线上商店,继而拥抱移动商务,随后又在TikTok等社交媒体平台上进行购物和产品发现,如今他们的习惯再次进化,开始接纳人工智能——包括OpenAI的ChatGPT Atlas和Perplexity的Comet等AI浏览器——将其视为又一种全新的购物方式。
“无论是ChatGPT、Perplexity还是Gemini,只要顾客有疑问,我们都希望能在那里提供帮助,”韦马纳说道。他于2022年加入塔吉特,此前在家得宝(The Home Depot)和史泰博(Staples)等大型零售商积累了数字零售经验。“我们希望,当顾客想到塔吉特的瞬间,我们就能出现在他们面前。”
通过与ChatGPT整合,塔吉特旨在将其个性化推荐呈现在该聊天机器人每周8亿活跃用户面前。塔吉特本月在生成式AI领域的另一项举措,是推出了AI驱动的礼物查找工具,现已上线公司官网和应用,允许购物者提出诸如“送给我岳母什么礼物好?”之类的问题,并得到自然语言的回答。
尽管在《财富》美国500强中排名第41位的塔吉特已向投资者表示,预计其持续面临的销售困境将在整个假日季延续,但数字销售一直是一个亮点。当韦马纳从医疗巨头凯撒医疗(Kaiser Permanente)——他曾在那里担任了三年的首席数字官——加入塔吉特时,首席执行官布莱恩·康奈尔(Brian Cornell)给了他明确的指令。“他说‘想办法让我们的同店销售额转正就行’,”韦马纳笑着回忆道。
到2024财年第一季度,数字可比销售额开始回升,并且已连续七个季度增长,其中包括上周公布的第三财季业绩中2.4%的增幅。
随着业务步入正轨,韦马纳的职责也扩大了,在今年早些时候布雷特·克雷格(Brett Craig)退休后,他兼任了首席信息官的职责。韦马纳现在负责企业产品技术、工程、基础设施和网络安全。
AI的内部应用包括ChatGPT Enterprise,该工具已推广给约18,000名员工,他们使用该工具提问、上传电子表格和进行内容总结。上周,OpenAI团队访问了塔吉特公司总部,4,300名员工参加了以ChatGPT为重点的培训课程。韦马纳表示,92%的员工对此次培训感到满意。
在门店中,塔吉特推出了一款名为“门店助手”(Store Companion)的生成式AI聊天机器人,它可以帮助回答问题,使门店运营更顺畅,或解答购物者的疑问。韦马纳表示,他正在持续收集员工的反馈,以改进“门店助手”。
“最终,我们希望确保他们在门店的体验能得到技术的全面辅助,这样他们就能专注于服务顾客,”他说。
塔吉特已经部署了几个智能体AI应用案例,早期重点集中在处理客户服务请求和改进IT工作流程上。韦马纳还在推广一个由数据科学驱动的库存管理系统,该系统能协调处理拥有2000家塔吉特门店和数十万种产品的复杂网络,以更精确地将库存水平与预期需求匹配起来。
“模型在不断进化和学习,”韦马纳说,并指出该项目早期的重点是麦片或内衣套装等“高频购买商品”。
塔吉特本月告知投资者,下一财年将追加10亿美元的资本支出,使新店开业、门店改造和技术升级的规划支出总额达到约50亿美元。技术的核心重点领域将集中在支持商品销售、供应链和门店运营上,不过韦马纳表示,他将在2026年3月分享更多关于支出优先顺序的细节。
但他誓言,技术将在提升塔吉特整体销售额方面发挥关键作用。
“我没有一刻不在思考增长,”韦马纳说。(财富中文网)
译者:郝秀
审校:汪皓
塔吉特(Target)首席信息与产品官普拉特·韦马纳(Prat Vemana)本周以消费者身份体验了全新购物方式:他通过OpenAI的ChatGPT,在塔吉特的应用上购买了睡衣。
这位高管的崭新购物行为,反映了零售业正在发生的巨大转变。当前,行业即将迎来“黑色星期五”和一个预计美国消费额将首次突破1万亿美元的假日季。过去几十年里,消费者先是转向线上商店,继而拥抱移动商务,随后又在TikTok等社交媒体平台上进行购物和产品发现,如今他们的习惯再次进化,开始接纳人工智能——包括OpenAI的ChatGPT Atlas和Perplexity的Comet等AI浏览器——将其视为又一种全新的购物方式。
“无论是ChatGPT、Perplexity还是Gemini,只要顾客有疑问,我们都希望能在那里提供帮助,”韦马纳说道。他于2022年加入塔吉特,此前在家得宝(The Home Depot)和史泰博(Staples)等大型零售商积累了数字零售经验。“我们希望,当顾客想到塔吉特的瞬间,我们就能出现在他们面前。”
通过与ChatGPT整合,塔吉特旨在将其个性化推荐呈现在该聊天机器人每周8亿活跃用户面前。塔吉特本月在生成式AI领域的另一项举措,是推出了AI驱动的礼物查找工具,现已上线公司官网和应用,允许购物者提出诸如“送给我岳母什么礼物好?”之类的问题,并得到自然语言的回答。
尽管在《财富》美国500强中排名第41位的塔吉特已向投资者表示,预计其持续面临的销售困境将在整个假日季延续,但数字销售一直是一个亮点。当韦马纳从医疗巨头凯撒医疗(Kaiser Permanente)——他曾在那里担任了三年的首席数字官——加入塔吉特时,首席执行官布莱恩·康奈尔(Brian Cornell)给了他明确的指令。“他说‘想办法让我们的同店销售额转正就行’,”韦马纳笑着回忆道。
到2024财年第一季度,数字可比销售额开始回升,并且已连续七个季度增长,其中包括上周公布的第三财季业绩中2.4%的增幅。
随着业务步入正轨,韦马纳的职责也扩大了,在今年早些时候布雷特·克雷格(Brett Craig)退休后,他兼任了首席信息官的职责。韦马纳现在负责企业产品技术、工程、基础设施和网络安全。
AI的内部应用包括ChatGPT Enterprise,该工具已推广给约18,000名员工,他们使用该工具提问、上传电子表格和进行内容总结。上周,OpenAI团队访问了塔吉特公司总部,4,300名员工参加了以ChatGPT为重点的培训课程。韦马纳表示,92%的员工对此次培训感到满意。
在门店中,塔吉特推出了一款名为“门店助手”(Store Companion)的生成式AI聊天机器人,它可以帮助回答问题,使门店运营更顺畅,或解答购物者的疑问。韦马纳表示,他正在持续收集员工的反馈,以改进“门店助手”。
“最终,我们希望确保他们在门店的体验能得到技术的全面辅助,这样他们就能专注于服务顾客,”他说。
塔吉特已经部署了几个智能体AI应用案例,早期重点集中在处理客户服务请求和改进IT工作流程上。韦马纳还在推广一个由数据科学驱动的库存管理系统,该系统能协调处理拥有2000家塔吉特门店和数十万种产品的复杂网络,以更精确地将库存水平与预期需求匹配起来。
“模型在不断进化和学习,”韦马纳说,并指出该项目早期的重点是麦片或内衣套装等“高频购买商品”。
塔吉特本月告知投资者,下一财年将追加10亿美元的资本支出,使新店开业、门店改造和技术升级的规划支出总额达到约50亿美元。技术的核心重点领域将集中在支持商品销售、供应链和门店运营上,不过韦马纳表示,他将在2026年3月分享更多关于支出优先顺序的细节。
但他誓言,技术将在提升塔吉特整体销售额方面发挥关键作用。
“我没有一刻不在思考增长,”韦马纳说。(财富中文网)
译者:郝秀
审校:汪皓
Prat Vemana, the chief information and product officer for Target, this week experienced something brand new as a shopper. He bought sleepwear through the retailer's app in OpenAI's ChatGPT.
The C-suite executive's new shopping behavior reflects a seismic shift happening for retailers as they head into Black Friday and a holiday season that's projected to surpass $1 trillion in spending for the first time in the U.S. Shoppers who have spent the past few decades migrating to web-based shops, then to mobile commerce, and shopping and discovery on TikTok and other social media platforms, are evolving again. They are now beginning to embrace artificial intelligence, including AI web browsers like ChatGPT Atlas from OpenAI and Comet from Perplexity, as yet another new way to shop.
“Whether it's ChatGPT, Perplexity, or Gemini, we want to be there to help answer a question that the guest has,” says Vemana, who joined Target in 2022 with digital retail experience from big-box retailers The Home Depot and Staples. “The minute Target comes to their mind, we want to be there.”
By integrating with ChatGPT, Target is angling to get in front of the chatbot's 800 million weekly active users with personalized recommendations from the retailer. Another generative AI bet that Target placed this month was the debut of an AI-powered gift finder that's now on the company's website and app, allowing shoppers to ask questions like “what's a good present for my mother-in-law” and get a natural-language response.
While Target, which is ranked 41 on the Fortune 500, has already signaled to investors that it expects its ongoing sales struggles will continue through the holiday season, digital sales have been a bright spot. When Vemana joined the company from healthcare giant Kaiser Permanente, where he served as chief digital officer for three years, he was given a clear mandate from Target CEO Brian Cornell. “He said 'Just get us to positive comps,'” recalls Vemana with a laugh.
By the fiscal first quarter of 2024, digital comparable sales were on the upswing and have increased for seven consecutive quarters, including a 2.4% gain for the fiscal third-quarter results that were reported last week.
With wind behind his sails, Vemana's responsibilities have also expanded to include CIO duties following the retirement of Brett Craig earlier this year. Vemana now oversees enterprise product technologies, engineering, infrastructure, and cybersecurity.
Internal applications of AI include ChatGPT Enterprise, which has been rolled out to about 18,000 employees who are using the tool to ask questions, upload spreadsheets, and for summarization. Last week, OpenAI's team visited Target's corporate office, where 4,300 employees participated in ChatGPT-focused training sessions. Vemana says that 92% were satisfied with the experience.
In its stores, Target has rolled out a generative AI chatbot called Store Companion, which can help answer questions to make store operations run smoother or address a shopper's questions. Vemana says he's continuing to field input from associates to make improvements to Store Companion.
“Ultimately, we want to make sure that their experience in store is fully assisted with tech so that they can focus on the guest,” he says.
Target has already deployed several agentic AI use cases, with early areas of focus on handling customer service requests and improving IT workflows. Vemana is also rolling out a data science-led inventory management system that triangulates the complexity of a network of 2,000 Target stores with hundreds of thousands of products to more precisely match inventory levels with anticipated demand.
“The models are evolving and learning,” says Vemana, noting that the early focus on this project are “frequency items” like cereal or a pack of underwear.
Target told investors this month that it would increase capital expenditures for the next fiscal year by an additional $1 billion, bringing the planned spending to about $5 billion on new store openings, remodels, and technology advancements. Tech's core focus areas will be on supporting merchandising, supply chain, and store operations, though Vemana says he will share more details about his spending priorities in March 2026.
But he vows that technology will play a critical role in lifting Target's overall sales.
“Not a single minute goes by without me thinking about growth,” says Vemana.