AI, ML & The Fashion Industry


The worldwide fashion industry, valued at more than 3 trillion dollars, adds a supple 2% to the worldwide GDP. The technological advancement within the fashion business involving AI and ML is changing the total outlook of the industry which was earlier, and sometimes still is, imagined to include only threads, needles, and sewing machines.

The availability of big data, customization, and different services in fashion organizations utilize AI in fashion. As per McKinsey, the leading 20% of the worldwide fashion brands are creating 144% of the business profits.

The main significant characteristic of AI is that of scale; humans can’t approach the level of data collection, storage, parsing, comprehension, and assessment that can be performed employing AI due to the sheer size of data. The capability of AI permits organizations to increase the precision and speed of decision-making, with certainty.


However, it is not that simple to acquire new clients on the online platform. It is highly crucial for brands that they think innovatively and rethinks fashion’s continuously evolving value-chain age. Implementing deep learning and natural language processing (NLP), technologies utilizing artificial intelligence can help achieve explicit tasks by processing huge data, perceive patterns within that information, and hence utilize that knowledge to additionally refining yields.

Recently, PLM solutions have been moving to near real-time collaborative platforms for design and advancement purposes, and even in these cases, there are just roughly 2,000+ PLM implementations across the fashion industry (across all style areas) as a whole. In 2021, the sector direly needs to make vital, bold strides to take PLM beyond design and development, to grow its functionality into the all-encompassing value-chain. AI algorithms precisely anticipate patterns, and also utilize visual search engines to transform these patterns into design assets. Beyond the design stage, fashion brands can use real-time AI feed to influence future demand.


Fashion brands implementing AI and ML are currently capable of distinguishing rapidly-changing design patterns and also supply the most popular fashion accessories to retail shelves quicker than the customary fashion retailer. Hence, leading style brands like Zara are quicker in giving instant satisfaction to retail customers by perceiving seasonal demands and manufacturing the correct inventory of the latest apparel.
Moreover, Artificial Intelligence empowers visual search, and it can transform how developers and designers will want to look for image resources.

The expanding investments by leading fashion brands in these advancements are proof of its huge business potential. Fashion brands are putting resources into AI and ML solutions to stay pertinent in a perilous and highly competitive marketplace.

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