Fashion Technology Foundations: Artificial IntelLigence  ​

Read below for an exclusive glimpse into the groundbreaking applications of AI.

The Potential of AI in Product Creation

In light of how quickly and comprehensively AI tools and solutions are being rolled out - both as standalone applications and as parts of larger software suites - the question is not whether a given design, development, or sourcing role will interact with, or be influenced by AI, but when. From this perspective, the most practical step you, as someone involved in the scope of product creation, can take is to consider which areas of your role generative AI could complement, what sensitivities you need to be aware of, before exploring which solutions might apply to your role.

To assist in this, we have mapped out what we see as being some of the top potential use cases for AI for different roles and responsibilities under the design, development, and sourcing umbrella, and which key considerations those personas should bear in mind.

Sourcing teams:

AI could be used to optimize supplier selection. Using machine learning algorithms, it can analyze factors such as price, quality, reliability, and sustainability credentials to suggest the best suppliers. This helps retailers to make more informed decisions and build more resilient supply chains. Linked to this is AI’s ability to assist in... 

Read the full report to explore further applications and key topics such as the history of machine learning, an objective breakdown of the possibilities of AI, tailored AI guidance for specific job roles in fashion, and more.