For weeks, images of fictitious Nike collaboration sneakers created by artificial intelligence have been trending on social media. However, that is only one illustration of the fashion application of AI; Marketing, engineering, and immersive experiences are just a few of its many valuable and extensive applications.

An Overview

AI’s new and increasingly user-friendly AI tools have generated a lot of buzz in the last month. Unique AI technology supporting text-to-video and brand design, respectively, was released last week, on March 20, by graphic design platform Canva and image editor Adobe Firefly. These specific launches further demonstrate the use of AI in producing visual content. What’s more, that is only the beginning of it.

Experts in the field anticipate that AI tools will enable faster, more streamlined workflows, allowing marketing, operations, and engineering workers to concentrate on creative and problem-solving tasks. According to Roger Roberts, a partner at McKinsey and co-author of the report “Generative AI is here,” released in December 2022.

AI may also address visual merchandising issues. As brands open more store areas, they need visual marketing that communicates the brand character worldwide but, on the other hand, is custom fitted to the setting of each store. Due to time and cost constraints, head visual merchandisers rarely lay out every store in a brand’s fleet.

End Note

Roberts also mentioned the creative ways that businesses could use AI. Brands can combine notes, sketches, and concepts for a collection with the help of generative AI technology.

With computer-based intelligence, these can then be joined with functional and monetary points of view, as well as promoting and showcasing, to make an assortment at a cost and an edge that is feasible for the brand and great for the client.”