AI applications in the food industry are gaining momentum, but there is still a long way to go for full integration. Here are the details!
Artificial intelligence has great potential in the food industry, especially in order management, customer service, and operational efficiency. Quick-service restaurants are increasingly using AI-powered solutions to improve customer satisfaction and reduce costs. However, the full adoption and successful implementation of these technologies still face some challenges.
The McDonald’s and IBM partnership is a prime example of this
McDonald’s tested AI-powered drive-thru technology in more than 100 restaurants through a two-year partnership with IBM. These experiments provided important data on how AI can perform in the order-taking process.
However, some glitches of this technology have gone viral. For example, the AI system caused a customer to order 2,510 McNuggets, and another customer was unable to place a simple order, eventually needing human intervention.
These experiences led to McDonald’s ending its partnership with IBM. The company stated that it learned a lot in the process and plans to explore voice ordering solutions more broadly.
These developments show that significant steps still need to be taken for artificial intelligence to be successfully implemented in the food industry.
The company has gained confidence that AI will be a part of its restaurants in the future, but more experimentation and development are needed before this technology is fully adopted. New partnerships with Google could further expand the potential of this technology.
The use of artificial intelligence in the food industry is not limited to order-taking processes. Restaurant chains aim to use artificial intelligence in many areas, such as customer service, stock management, logistics, and even optimizing recipes.
However, in order for these technologies to be successfully implemented, a robust infrastructure and employees must be able to adapt to these new technologies.
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