5 ways AI is transforming the fashion industry for sustainability - Deepstash
5 ways AI is transforming the fashion industry for sustainability

5 ways AI is transforming the fashion industry for sustainability

Curated from: towardsdatascience.com

Ideas, facts & insights covering these topics:

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1. Marketing Campaigns and Fashion Shows going virtual

1. Marketing Campaigns and Fashion Shows going virtual

Maybe the COVID pandemic has accelerated the adoption and acceptance of digitalization in society. The fashion industry has benefited from that and it's making marketing campaigns and fashion show on digital. With AI, they will be able to make a 3D digital fashion model in the near future.

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2. Virtual Fitting Room and better customisation reducing returns and enhancing customer experience

2. Virtual Fitting Room and better customisation reducing returns and enhancing customer experience

It's clear that more and more people are buying fashions online. But it would be better if these clients have solutions to test the fitting virtually. This will reduce the return rate and qlso can drive more clients to make their shopping online.

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95 reads

3. Propelling the second-hand market

3. Propelling the second-hand market

The idea is to embrace the circular economy and second hand clothes. This is eco friendly solution

Technology like AI has the potential to improve customer experiences in the used clothes market from a variety of different angles, including more reliable pricing, better-personalized user experiences, better styling services and of course, as we’ve introduced before, more precise sizing. 

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4. Rental Fashion meets AI

4. Rental Fashion meets AI

Like the previous idea, rental fashion is another eco friendly solution. It is a solution to save you the expenses of purchasing expensive garments that are almost like single-use, as well as saving millions of under-utilised clothes.

Technology is helping to scale up the system and make it faster to free up inventories so customers, to automatically recognise the materials and corresponding cleaning methods of returned clothes when sorting them. Minimal inbound processing time is achieved, therefore maximizing the reuse potential of clothes and their benefits to the environment.

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5. AI sales prediction prevents stockpiling

5. AI sales prediction prevents stockpiling

Researchs are ongoing to keep developing data analytics and machine learning models to better predict sales, clothing trends, customer behaviour and reduce the number of unsold clothes each season.

Being cost-saving and environmentally friendly at the same time,

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IDEAS CURATED BY

dizay

#Scientist and a huge #sport 's passionate with a true interest in #innovation and new #technology. I share my passions on my blog website QuaterTech.com that explores the intersection of #sports and #tech

CURATOR'S NOTE

The fashion industry is a fast growing industry. Solutions must be found to make it more sustainable. And technology like AI can help to achieve that.

Yazid Kaced's ideas are part of this journey:

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