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Ordering with the Starbucks ChatGPT app was a true coffee nightmare

Publicado porRedacao AIDaily
5 min de leitura
Autor na fonte original: David Pierce

Venti iced coffee, light skim milk. That's what I get at Starbucks. It is what I have gotten at Starbucks every time I've been to Starbucks for as long as I can remember, other than a brief love affair with the caffe misto a few years ago. In person, my brain barely needs to activate […]

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Ordering coffee is easy. Besting the Starbucks app with AI chat is going to be very, very hard.

Ordering coffee is easy. Besting the Starbucks app with AI chat is going to be very, very hard.

Venti iced coffee, light skim milk. That’s what I get at Starbucks. It is what I have gotten at Starbucks every time I’ve been to Starbucks for as long as I can remember, other than a brief love affair with the caffe misto a few years ago. In person, my brain barely needs to activate to say the words aloud; in the app, it’s four taps and I’m ready to go.

My first time ordering Starbucks through its new ChatGPT integration, which launched last week , was comparatively a complete mess. Getting started is easy enough, if not exactly obvious: Just open ChatGPT and type “@Starbucks” plus your order. You can probably guess what happens next, right? I promise you’re wrong. “Order me a Venti iced coffee with light skim milk,” I typed, to which ChatGPT responded: “The Iced Coffee is exactly what you’re after—cold-brewed and served unsweetened, so adding light skim milk will keep it smooth without getting heavy.” Cool, thanks for the info ChatGPT. Please order me coffee.

Above the message, ChatGPT added what I figured out was a menu, showing the three most likely things I might have meant by “iced coffee.” Iced Coffee was the first option, victory! But I had to select “Customize,” then scroll through the pop-up UI and select both the right size and the milk addition, or else when I tapped “Add to cart” I got just a Grande black iced coffee.

I should note that this had already taken longer than it takes to open the Starbucks app, tap “Order,” tap the name of the closest store, tap the plus sign next to the drink I always get, and check out. But I soldiered on: I got the drink I wanted in the cart, and then went to add my wife’s drink to my order. She calls it “the fruity tea,” which is not a name, but is the kind of fuzzy search ChatGPT ought to handle well! It offered me Iced Green Tea Lemonade, which is a reasonable but wrong guess. I eventually remembered it was the Passion Tango Tea, at which point ChatGPT offered me another enthusiastic description of the tea. Once again, I scrolled up, I customized, and I added to cart.

At that moment, I got an ominous pop-up: “This chat is nearing its limit.” I’m a free-tier ChatGPT user, but I haven’t touched the app in weeks (I’m mostly a Claude guy these days), so hitting the limit this fast was a bit surprising. Also, why is there a limit at all, when I’m trying to do a thing that theoretically makes both ChatGPT and Starbucks a bunch of money? To get things done as quickly as possible, I went to check out. Turns out, ChatGPT has my location wrong, and offered a list of stores half a state away from me. When I went to the map view, where ChatGPT said I could change my location, all I got was an “Oops! Something went wrong.” message. And right about then, I got another pop-up: “You’re out of messages with the most advanced Free model.” It told me it would reset — in five hours. Until then, I’d be shunted to some other, lesser model.

Any rational person would have given up a while ago, right? This is a straight-up terrible ordering experience, made vastly more complicated by the back-and-forth chat system that conferred exactly zero discernable AI upside. But, like a good journalist, I tried again — I started over, @-mentioned Starbucks, and told it my order as succinctly as possible. It confirmed my request, and then let me down gently. “I can’t place your order directly or add it to a real cart,” it said, before offering to walk me through how to use the Starbucks app. Evidently, the model I’d been downgraded to didn’t support the more advanced Starbucks features — or have any idea what I’d just been up to.

I can’t shake the idea that this app — like so many AI tools — appears to be designed for people that simply don’t exist. In Starbucks’ own blog post , it suggests you might prompt the app with things like “Recommend a drink that matches the vibe of my outfit” or “I’m in the mood for something cozy and nutty.” Is that how anyone actually decides their beverage of choice? At best, these features are silly fun. At worst, they’ll lead to even more people dreaming up ridiculous, 12-ingredient, made-to-be-TikToked drinks that drive baristas batty all day.

The actual dream of AI coffee ordering has been the same for a long time: I want to say “order me coffee,” and my assistant should know exactly what to get me and from where. The tech industry tried this in the era of Google Assistant and Alexa, and they’re trying again in the times of ChatGPT. There’s a chance that truly useful AI agents, like the ones Google is testing with Gemini , can go click around for you and get the job done automatically. But chat ain’t it, friends. Coffee ordering, like so many things in life, is not a creative experience designed for conversation. It is a transaction. Ideally, a very short one, because I haven’t had my coffee yet.

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Pontos-chave

  • A integração do ChatGPT com o aplicativo da Starbucks ilustra os desafios da adoção de IA em serviços.
  • A experiência do usuário é crucial para a aceitação de tecnologias digitais, especialmente em mercados com forte cultura de atendimento presencial.
  • O design centrado no usuário deve ser uma prioridade para evitar frustrações que podem prejudicar a percepção da tecnologia.

Análise editorial

A integração do ChatGPT com o aplicativo da Starbucks destaca um desafio significativo na adoção de tecnologias de IA no setor de serviços. Embora a promessa de um atendimento mais personalizado e eficiente seja atraente, a experiência do usuário pode ser comprometida por interfaces complexas e interações que não atendem às expectativas. Para o mercado brasileiro, onde a cultura do café é profundamente enraizada, a facilidade de uso é crucial. A Starbucks, que já possui uma base de clientes leais, pode enfrentar resistência se a experiência digital não for tão fluida quanto o atendimento presencial.

Além disso, essa situação ressalta a importância de um design centrado no usuário em aplicações de IA. A frustração do usuário ao tentar realizar um pedido simples pode levar a uma percepção negativa da tecnologia, impactando a aceitação de soluções semelhantes em outros setores. No Brasil, onde a digitalização está em crescimento, é vital que as empresas aprendam com esses erros para evitar que a tecnologia se torne um obstáculo em vez de uma solução.

O que observar a seguir é como a Starbucks e outras empresas de tecnologia responderão a esse feedback. Melhorias na interface e na capacidade de compreensão da IA são essenciais para garantir que os usuários não apenas adotem a tecnologia, mas também a considerem uma ferramenta útil. Além disso, será interessante ver como a concorrência reagirá a essa integração, especialmente em um mercado onde a experiência do cliente é um diferencial competitivo.

Por fim, a experiência do usuário com o ChatGPT na Starbucks pode servir como um estudo de caso para outras empresas que buscam integrar IA em seus serviços. A lição aqui é clara: a tecnologia deve simplificar e aprimorar a experiência do cliente, não complicá-la. O sucesso da IA no setor de serviços dependerá da capacidade das empresas de ouvir seus clientes e adaptar suas soluções para atender às suas necessidades de forma eficaz.

O que esta cobertura entrega

  • Atribuicao clara de fonte com link para a publicacao original.
  • Enquadramento editorial sobre relevancia, impacto e proximos desdobramentos.
  • Revisao de legibilidade, contexto e duplicacao antes da publicacao.

Fonte original:

The Verge AI

Sobre este artigo

Este artigo foi curado e publicado pelo AIDaily como parte da nossa cobertura editorial sobre desenvolvimentos em inteligência artificial. O conteúdo é baseado na fonte original citada abaixo, enriquecido com contexto e análise editorial. Ferramentas automatizadas podem auxiliar tradução e estruturação inicial, mas a decisão de publicar, a revisão factual e o enquadramento de contexto seguem responsabilidade editorial.

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