Uber is the newest of the digital behemoths to offer AI to its clients. An AI chatbot that will assist clients in selecting their next meal is being developed by Uber Eats, the company’s online food ordering and delivery service.
According to Bloomberg, Uber Eats’ AI-powered chatbot would provide recommendations to clients, enabling them to place their food orders more quickly. The specifics of the chatbot were found in the coding of the app by developer Steve Moser.
The code sample provides a hint as to how this chatbot might function, even though there has been no formal announcement. Customers should be able to find appropriate restaurant dishes with the chatbot’s assistance. The prompt that appears when the chatbot is activated will read, by the code fragment found, “AI assistant was designed to help you find relevant restaurant dishes and more.”
Uber CEO Dara Khosrowshahi told Bloomberg News earlier this month that the ride-hailing and food-ordering behemoth is aiming to integrate AI into its products. We are currently working on that, Khosrowshahi remarked. Khosrowshahi points out that Uber has used artificial intelligence before.
For years, the business has used artificial intelligence and machine learning in its software. “We have worked with artificial intelligence and machine learning systems for years and years,” he stated. “Algorithms are used to match you with a car or a courier every time. Distance, time of day, and other factors are all determined by machine learning.
” The AI chatbot developed by Uber Eats will follow in the footsteps of DoorDash, which recently unveiled its own AI-powered voice ordering platform that helps businesses increase revenue by handling all incoming calls. The business is also working on a chatbot powered by AI that speeds ordering and helps clients identify food options.
Instacart, a rival of Uber Eats that offers grocery delivery and pickup services across the US, debuted the “Ask Instacart” search engine. The technology, which is run by OpenAI’s ChatGPT, provides individualized suggestions to help users save time and address shopping-related queries.
