Brands and retailers are tapping into the power of generative AI technology to drastically improve efficiency and automate otherwise laborious and time-consuming tasks.
Generative AI tools such as ChatGPT, Copy.AI, Dalle-E and Midjourney continue to grab headlines with sometimes bizarre attempts at creativity and ethical concerns arising around originality and artistic integrity. However, these tools have now matured to the point that they can reliably generate consistent and useful outputs.
Yet where these Silicon-based Lifeforms really shine is in their ability to efficiently automate specific tasks, and companies are now finding applications with real commercial potential. Companies are catching on to this massive opportunity, with the global generative AI market set to be worth $53.9bn by 2028, growing 32.2% over the next five years.
AI systems are also being used to improve operational efficiency, reduce return rates, raise conversion rates and even help feed the planet.
The case studies highlighted in this trend show the growing commercial importance of AI systems for brands, as they automate tasks and help to solve operational problems with dispassionate efficiency. Not only that, but many of these systems improve over time as more data is input.
Shopify Magic uses generative AI to create product descriptions
Volumental’s AI-powered in-store foot scanners take the guesswork out of shoe sizes
Marugame Udon noodle restaurants will be powered by Fujitsu’s AI forecasting system
Tenchijin uses satellite data to create a new variety of rice adapted to climate change
Mercedes-Benz uses digital twin factories to optimise processes
Withings’ U-Scan is a smart at-home urine lab
CloudChef’s ‘Spotify for food’ uses AI to recreate culinary masterpieces
Spotify’s AI DJ will curate a stream of songs it thinks you’ll like, and provide commentary
Levi’s tests AI generated models for its e-commerce site
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