Hey Reader, Everyone's rolling out AI features, but they're not all a hit. I've seen so many ads for AI-powered tech in mainstream media lately – it seemed like half the commercials during the recent NBA Finals were AI-related. So today, Nyasha helps us dig into one that was not a hit – the McDonald's AI ordering system – and how their competitors are taking the lead on faster, smarter verbal ordering tech. ••• But first, a new tool and free trial for IWAI readers from our friends at Zupyak. If you're writing marketing or website content, you already know AI Search Snippets are turning your world upside-down. Zupyak solves that crisis by using AI to help you build better and smarter content for the next generation of search. Make sure to start your free trial with the code IWAI (for our readers only). Is your SEO ready for AI Search and the longtail-boom? AI Search will increasingly demand more from your keywords and content. Zupyak uses AI to help you understand what your customers are searching for and create unique content at scale optimized for any market, in any language.
Zupyak helps you write all the SEO content you need whether you’re an in-house marketing team, freelancer analyst, or an entrepreneur running the whole show. 👉 Use the code IWAI for your 30 free day trial 💸 ••• 🍔 Here are all the details from Nyasha on the AI drive-thru fails at McDonald's... In a surprising turn of events, McDonald's has decided to halt its artificial intelligence (AI) drive-thru tests. After nearly three years of collaboration with IBM, the fast-food giant found that the AI system, intended to improve the ordering process, was more a source of frustration than innovation. Videos on social media showcased glaring errors, such as a TikTok where a system misinterpreted orders to the comical extreme of 260 Chicken McNuggets instead of the intended amount. This blunder is just one example of the AI's misunderstanding that led to customer dissatisfaction. The trials, which began in 2021, were part of McDonald's plan to modernize service and reduce human error. However, the reality was a far cry from expectations. The AI frequently misheard orders, resulting in incorrect items and quantities that led to customer confusion and delays. This operational hiccup contrasts sharply with the successes reported by other chains like White Castle and Wendy's, whose AI systems boast up to 90% order accuracy without human intervention. These discrepancies highlight the inconstant success of AI within the industry, suggesting that the technology's effectiveness might be contingent on the specific application or vendor. The pros of implementing AI in drive-thrus are clear: increased efficiency, reduced labor costs, and potentially enhanced customer service during peak times. However, the cons, as evidenced by McDonald's experience, include significant teething problems such as order inaccuracies and a lack of adaptability in real-world interactions. This dilemma emphasizes the challenges businesses face when integrating new technologies. While AI offers promising advantages, its current form still requires refinement and if it was this hard to get a famous company like McDonald’s to do it, what chance do smaller businesses have? Despite the setbacks, McDonald's is not completely abandoning AI. The company plans to reassess its strategy and explore other voice ordering solutions. McDonald’s did not climb to the top of the fast food world by giving up and the company is open to tweaking their plan. This also shows that there are many other ways to implement AI into fast food restaurants besides using them for the drive thru. This recalibration suggests that while the current approach did not yield the desired results, the potential for future applications remains. It reflects a broader trend in the industry where businesses are keen to integrate AI into their existing systems but are also learning that progress often comes with unexpected challenges. McDonald's withdrawal from its initial AI venture is a cautionary tale of the hurdles that come with pioneering technology. While its competitors may have found a formula for success, McDonald's experiences remind us that adaptation and flexibility are crucial. The fast-food leader's journey also signals to other companies the importance of continued improvement balanced with realistic expectations and readiness to change strategies as needed. The evolution of AI in fast food is far from over, and McDonald's, with its eyes still set on future AI solutions, is poised to return to the drawing board, aiming to lead by learning from its own missteps. Until next time, – Rob, Nyasha and the IWAI Team
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