Jan Flac’s Post

And yet more on AI in fashion. This is an interesting case study on how AI can help brands at a logistical level “Currently, Mango has 15 different digital intelligence platforms, covering everything from pricing to personalization. Moving forward, Mango will use the technology to facilitate better in-house efficiencies and creativity through multiple tools, as it aims to outdo super-fast fashion companies like Shein and Temu.” #fashionAI #fashionindustry

'Shein uses AI to speed up fashion production 🚀💃 Shein has launched AI technology across its fashion production lines as it looks to speed up its go-to-market lead times ⏱️🛍️ #Shein #FashionTech #AIInnovation #FastFashion 🤖👗 by Retail Gazette about SHEIN

SHEIN WORKS WITH NTX ON AI INSIGHTS TO DRIVE FASTER TREND REACTION Fashion Network SHEIN WORKS WITH NTX ON AI INSIGHTS TO DRIVE FASTER TREND REACTION Shein’s still-not-confirmed London IPO isn’t the only big news story around the e-tailer at the moment. It’s also tapping into one of the year’s (make that the decade’s) hottest trends with an AI-focused link-up. It's to use artificial intelligence (AI) to accelerate its already fast-to-market product launches and fulfilment capabilities with the help of specialist NTX Group’s “exclusive technology”. How much faster? NTX said Shein can now launch new fashion products in a seven-day period, with product fulfilment delivery of only five days, “significantly faster than conventional processes”, it claims. “AI and fashion are logical partners,” said Charles Duan, Managing Partner of NTX Group, citing both “major brands and emerging fashion companies that want to follow trends and sell their products on the Shein platform”.  Shein is one of the most rapidly expanding e-commerce retail fashion websites, particularly in the US market. TikTok’s #Shein hashtag has reached upwards of 84.4 billion views. It’s looking to hone its operations across design, planning and production stages as the business prepares for the aforementioned highly-anticipated-but-still-with-a-few-question-marks IPO on the London Stock Exchange. Of course, news that it’s using tech to make its already-fast-fashion even faster won’t please everyone, especially those who believe a slower fashion model is the way to go. But there’s no denying that the e-tailer’s army of fans is likely to embrace faster trends reaction. https://lnkd.in/gvPbvfCf #ai #metaverse #fashion #investment

Monday I Will Keep It Brief: While everyone is telling you not to worry about the competitive changes AI will bring to the retail sector. I am telling you to worry about it. Retailers should worry about the competitive powers of AI because companies like SHEIN are setting new industry standards by leveraging AI in ways that offer unprecedented efficiency and scale. Shein’s use of AI allows it to rapidly analyze customer preferences, adjust production in real time, and optimize supply chains to bring vast amounts of affordable merchandise to market with remarkable speed. As a result, Shein can list up to 600,000 items online at any time and cater to a global audience, making it a dominant force in the fast-fashion sector. AI’s potential goes beyond just efficiency gains; it also reduces inventory waste and operational costs, as seen in how Shein and competitors like Zara and H&M are using machine-learning to predict demand and optimize stock. A McKinsey report suggests that AI could contribute up to $275 billion in profits for fashion and luxury sectors in the next few years, underscoring its strategic importance. #retailing #strategy #ceo #technology #innovation

How AI Will Revolutionize Fashion Retail And Virtual Try-On? 🛍️ A recent Forbes article by Moin Roberts-Islam highlights AI's transformative impact on fashion retail, particularly through virtual try-on technology. These advancements are improving the shopping experience while addressing key challenges: size accuracy, return reduction, and sustainability. AI is making fashion more inclusive by accurately representing diverse body types and skin tones, creating a personalized and welcoming shopping environment for all. As AI evolves, we anticipate further innovations benefiting both shoppers and brands, enhancing customer satisfaction while reducing environmental impact. At Veesual, we're proud to be part of this fashion tech transformation. 👉 Read the full article: https://lnkd.in/eiBqmjE6 #FashionTech #VirtualTryOn #RetailInnovation #Fashion

Digiday fashion and beauty publication Glossy closed out 2023 with a look at how Shein's production model has led to brands' adoption of real-time AI tools, and what that means for fashion in 2024. Leading the conversation is GPR client Particl Co-Founder Dave Smiley, who spoke to International Fashion Reporter Zofia Zwieglinska about the results Particl's AI pricing and product development platform has created for top retailers. 📲 https://lnkd.in/eHpMrmZK “More people will follow that model, obviously not to Shein’s level of extreme,” said Dave Smiley, co-founder of Particl, which provides predictive analytics for companies including Rothy’s, Staud and Skims. “We are slowly moving away from, ‘Going with your gut,’ or, ‘Our president has her ear to the ground,’ and moving toward, ‘What does the data say?’ and, ‘What’s working for the competition?’ It only takes a few failed launches for brands to humble themselves enough to admit they do need this data.” #AI #retail #ecommerce #technology #fashion

It's easy to be dazzled by the accessibility of AI and its potential to revolutionize industries yet we are not as vocal about the sustainability impacts. What can we do to promote the responsible use of AI?

🚀 How AI is Shaping the Future of Fast Fashion: A Look at SHEIN’s Strategy As fast fashion brands like SHEIN continue to expand, the environmental impact of their operations is a growing concern. However, Artificial Intelligence (AI) offers innovative solutions to reduce their carbon footprint. By using AI to optimise supply chains, predict demand, and manage inventory more effectively, SHEIN could significantly reduce waste and overproduction, both of which contribute to high carbon emissions. SHEIN employs proprietary machine-learning applications to streamline various aspects of its business, including design, manufacturing, supply chain management, and customer experience. Here’s how these applications are integrated: 1.      AI-Powered Trend Forecasting SHEIN uses AI-driven algorithms to analyse large volumes of data from social media, fashion blogs, and sales trends which help company to identify the emerging fashion trends that aligns with customer needs. 2.      Inventory and Supply Chain Management: SHEIN’s AI systems help optimise inventory management, reducing the risk of overstocking or understocking. Peter Pernot-Day, Shein’s head of global strategy and corporate affairs, told Business Insider that We are using machine-learning technologies to accurately predict demand in a way that we think is cutting edge, Shein’s 5,400 suppliers have access to an AI software platform that gives them updates on customer preferences, and they change what they’re producing to match it in real time. “This means we can produce very few copies of each garment,” he said. “It means we waste very little and have very little inventory waste. 3.      Dynamic Pricing: Through proprietary machine learning, SHEIN adjusts pricing dynamically based on demand, competition, and customer behaviour. This allows them to stay competitive in a fast-paced market by offering lower prices without compromising profitability. Want to learn more? Check out how AI is shaping the fashion industry and helping companies like SHEIN stay ahead in a fast-evolving market. https://lnkd.in/gu6krDfC #AI #FashionTech #RetailInnovation #SupplyChain #Personalisation #WomenInAI Dr. Alessandra Sala Begüm Genç McEvoy Catherine Lalanne Nabanita Roy Haoio (Karin) Cheong Adebola Olomo Bhakti Chauhan Georgiana Ifrim Buvana Ganesh Iva Simon-Bubalo Laura Kennedy Naomh McElhatton Andrea Balogh Jadra P. Naa Korkoi Addo Karthika M S Mithra Ravichandran (ミトララヴィチャンドラン ) Wen Dai💡Harshika Pareek Rhealyn Mugri, MSc. Ngan Pham Luqian S. Asil Alsaadawi

❓How Could #AI Transform Fast Fashion for Better and Worse❓ 🦾 AI is revolutionizing (fast) fashion by speeding up trend forecasting, automating designs, and optimizing supply chains. 😤 While this brings cost efficiency and sustainability gains, we must also be mindful of the risks: overconsumption and ethical challenges. As brands race to innovate, we need a balanced approach that embraces technology without sacrificing responsible practices. 👉 For more info: https://lnkd.in/eHpiSSNm #FashionTech #SustainableGrowth #TechInnovation

HOW we use AI and for WHICH PURPOSES matters. Boosting fast fashion is NOT a good case for our environment. Not all innovation is good innovation. *** I am an AI and business strategist, professional moderator and keynote speaker, and board director. I am also a K-1 fighter, metal fan, and eternal rebel. Everything I publish is written by my human self, with a touch of AI-enabled research and illustrations. Follow me or connect for thought-provoking and sometimes humoristic perspectives on artificial intelligence and human stupidity. #artificialintelligence #generativeAI #responsibleai #leadership #sustainableAI #AIAct