Inteligência Artificial

Chatbots at the drive-thru are just the beginning

Publicado porRedacao AIDaily
6 min de leitura
Autor na fonte original: Emma Roth

This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more news about how AI is seeping into our daily lives, follow Emma Roth. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started In 2021, McDonald's became one […]

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This is The Stepback , a weekly newsletter breaking down one essential story from the tech world. For more news about how AI is seeping into our daily lives, follow Emma Roth . The Stepback arrives in our subscribers’ inboxes at 8AM ET. Opt in for The Stepback here .

In 2021, McDonald’s became one of the first major fast-food chains to greet customers with an AI chatbot at the drive-thru. It started small, deploying the voice-ordering technology at 10 of its locations in Chicago. McDonald’s developed its drive-thru tech after acquiring Apprente , a startup focused on voice-based, conversational technology in 2019, and later worked with IBM to scale automated ordering.

This was only the beginning of the AI drive-thru. Checkers and Rally’s teamed up with the AI company Presto to put a chatbot at all corporate-owned drive-thrus in the US in 2022, with the goal of selling more food and drinks to customers and improving order accuracy. The company also said the tech will “free up staff for more people-dependent areas of their business.”

Wendy’s and Taco Bell followed suit. In 2023, Wendy’s launched its “FreshAI” chatbot at one of its drive-thrus in Columbus, Ohio in 2023 . The company worked with Google to develop an AI chatbot trained on the franchise’s lingo, so it understands that a “milkshake” is a “Frosty” and that a “JBC” is a “junior bacon cheeseburger.” Wendy’s began expanding the technology months after its launch, saying that it got orders right without employee intervention 86 percent of the time.

Taco Bell had been testing its Voice AI drive-thru around the same time and later announced plans to expand the technology to hundreds of locations in the US by the end of 2024. Similar to other fast food chains, Taco Bell pitched the idea as a way to reduce the task load for employees and slash drive-thru wait times. Other chains began trying out the technology as well, including Panera Bread , White Castle , Carl’s Jr., Hardee’s , Panda Express, and Popeyes .

By now, you might’ve encountered at least one AI chatbot at one of your local fast-food chains. I spoke to one at Checkers, where a human quickly took over after I was told one of the sandwiches I tried to order was out of stock. Even as companies continue to expand their use of AI drive-thrus, customers aren’t exactly fans of it.

A January 2025 survey conducted by YouGov found that 55 percent of Americans would prefer a human to take their order at the drive-thru, compared to 21 percent who had no preference, and 4 percent who would rather use an AI chatbot. That generally lukewarm response may be having an impact on some franchises, as McDonald’s ended its partnership with IBM in 2024. One year later, Taco Bell chief digital officer Dane Mathews told The Wall Street Journal that it’s reevaluating its deployment of the AI drive-thru after customers expressed their frustrations on social media and trolled the technology by ordering 18,000 water cups . Some people suggest making similarly outrageous orders or speaking in a different language just to bypass the tech and speak to a human worker.

Customer frustration isn’t the only snag AI drive-thrus are running into; their credibility is an issue, too. Last year, the Securities and Exchange Commission charged Presto — the company that powers the AI drive-thrus at Checkers, Rally’s, Carl’s Jr., Hardee’s, and now, Dairy Queen — with misleading customers about the capabilities of its technology. In 2023, an SEC filing revealed that human workers in the Philippines stepped in for most orders taken by Presto’s AI system.

Fast-food chains are taking AI beyond the drive-thru. Though The Wall Street Journal reports that McDonald’s is giving AI-powered drive-thrus a second chance, it’s also exploring other ways to utilize the technology, including a system that predicts when its equipment (like its seemingly always out-of-order ice cream machine ) is likely to break down. The company is also using AI-powered scales to compare the target weight of an order versus its actual weight, and then alert employees if something is missing, potentially helping workers remember to pack your to-go bag with fries.

Burger King, which is running a limited test of AI drive-thrus, announced in February that it’s piloting an AI assistant , called “Patty,” that lives inside employees’ headsets. Workers can chat with the AI assistant if they need help preparing food, such as if they forget how many strips of bacon to put on a Texas Double Whopper. At the same time, Patty listens to employees to evaluate them for friendliness. That means tracking whether they say “welcome to Burger King,” “please,” and “thank you.” Burger King also uses AI to inform managers when a machine is down for maintenance or if an item is out of stock, as well as to remove affected items from the digital menu board.

Taco Bell is experimenting with an AI-driven menu board, too . But instead of just using AI to remove items from the menu, it will use the technology to “dynamically change the layout, content, and visuals on a car-by-car basis,” Ranjith Roy, the chief financial officer of Taco Bell parent company Yum!, said during the company’s most recent earnings call . Roy doesn’t expand on this, but it seems like it could allow Taco Bell to adjust what’s on the menu based on the customers pulling up.

Other uses of AI are picking up traction as well. Both Culver’s and Zaxbys are working with a company called Berry AI to put camera timers at the drive-thru to capture data about traffic flow, service execution, and more. Berry AI says its tech shortens drive-thru service time by 20 to 40 percent. It seems like more fast-food chains might start deploying AI tech that’s less in-your-face than an AI chatbot at the drive-thru window, whether it’s menu changes you don’t notice, or a scale that measures your food bag before it’s handed to you — at least until these companies perfect their chatbot’s tech.

It’s not just fast-food cs that are looking into ways to use AI. Applebee’s and IHOP are exploring a personalization system that could suggest or upsell menu items.

A survey from the National Restaurant Association found that 26 percent of restaurant operators are now using AI, with most using the tools for marketing and administrative tasks.

AI-powered shopping carts are becoming a thing, too. Some grocery stores, like Whole Foods , Wegmans , ShopRite , Kroger, and Sprouts , are trying out the tech in some locations.

Food & Wine has an interesting dive into the restaurants — like Chipotle — that are putting robots inside their kitchens.

Verge alum Joanna Stern stress-tested the Hardee’s AI drive-thru for this Wall Street Journal report .

Rest of World has a fascinating report about how convenience store robots in Japan are actually operated by humans in the Philippines.

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Pontos-chave

  • A adoção de chatbots em drive-thrus pode otimizar operações e reduzir custos para restaurantes no Brasil.
  • A resistência do consumidor à automação pode ser um desafio, especialmente em um mercado que valoriza o atendimento humano.
  • A adaptação cultural e linguística das soluções de IA será crucial para a aceitação no Brasil.

Análise editorial

A introdução de chatbots em drive-thrus de cadeias de fast-food, como McDonald's e Wendy's, representa um marco significativo na adoção de IA no setor de serviços. Para o Brasil, essa tendência pode sinalizar uma transformação nas operações de restaurantes e no atendimento ao cliente. Com a crescente pressão por eficiência e redução de custos, as empresas brasileiras podem se inspirar nesse modelo, especialmente em um mercado onde a mão de obra é um desafio constante. A implementação de tecnologia de IA pode não apenas otimizar processos, mas também permitir que os funcionários se concentrem em tarefas mais complexas e que exigem um toque humano.

Além disso, a resistência dos consumidores, evidenciada pela pesquisa que aponta que 55% dos americanos preferem interação humana, é um fator crucial a ser considerado. No Brasil, onde a cultura de atendimento ao cliente é valorizada, a aceitação de chatbots pode ser ainda mais desafiadora. As empresas precisarão encontrar um equilíbrio entre a automação e a experiência do cliente, garantindo que a tecnologia não comprometa a qualidade do serviço.

O futuro das operações de drive-thru no Brasil pode ser moldado por essa tendência, mas é importante observar como as empresas locais adaptarão a tecnologia às suas necessidades específicas. O desenvolvimento de soluções de IA que compreendam o contexto cultural e linguístico brasileiro será fundamental. Além disso, a regulamentação e a proteção de dados devem ser consideradas, uma vez que a implementação de IA levanta questões sobre privacidade e segurança.

Por fim, à medida que mais cadeias de fast-food e restaurantes adotam essa tecnologia, será interessante monitorar não apenas a eficácia dos chatbots, mas também as reações dos consumidores e como isso impactará a dinâmica do mercado. A inovação deve ser acompanhada de uma estratégia clara de comunicação e engajamento com o cliente, para que a transição para a automação seja bem-sucedida e aceita pelo público em geral.

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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