Fast food order
This drive-in switch brings customers to despair-or crashes
In the United States, some fast food chains with AI experiment. The results are mixed, as the example of Taco Bell shows. The company is now rethinking its strategy.
Artificial intelligence (AI) can simplify many things. But it can also cause the opposite how the American company Taco Bell had to experience. Taco Bell put AI in his drive-in switches to automate the loop-like absorption of orders and avoid errors. However, the technology did not work as hoped.
Dozens of videos are circulating on social media that show how the AI switch incorrectly absorbs orders, does not understand properly or drives customers mad with endless inquiries. Just one example 👇
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In addition, fun birds made the task of bringing the technology to the crash with hine-up orders-whereby the AI colleague must be said that an order would have surely overwhelmed some human employees.
Taco Bell now wants to carefully consider AI use
Like Taco Bell’s technology boss Dane Matthews, the company now wants to rethink the AI-Drive-ins. You learn a lot and sometimes be positive and sometimes negatively surprised. It is now weighed carefully where the technology will be used in the future. In highly frequented branches with long snakes, a human colleague could possibly record and handle the orders more efficiently.
Taco Bell is not the first fast food chain that tests artificial intelligence on its drive-in switches. Burger King and McDonalds also experimented with technology in the United States. McDonalds ended a first AI experiment last year and now wants to further develop the technology according to “Wall Street Journal”. In Germany, the switches have so far been purely human.
In the AI boom, which has lasted for around three years, the examples show where the technology is still reaching its limits. The “Financial Times” according to the innovation cycles in August. Previously, the latest presented language model version of Open AIS Chatgpt, unlike the always celebrated predecessors, had rather disappointed users as well as investors.
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Source: Stern
