Niclas Bornling’s Post

I find this Business of Fashion / Quilt.AI article and analysis absolutely fascinating. (scroll down a bit in the article to download the sample report to see the charts) https://lnkd.in/gAh4-b9R 1. They're able to train models on Carl Jung psychology fundamentals, they detect dominant archetypes projected by the brands, and then analyze UGC to see how things line up 2. This type of analysis can be used for any (consumer only?) segment 3. Hell of a great revenue stream for these folks too (if you're on their list you'll need to dive deep) Note that they were only able to cover brands that had generated a significant amount of content, oh and have at least 300M in revenue. AI is brilliant for looking at macro patterns. How they ranked "the top brands" is a provocative human digestible expression the industry can look at to reposition as needed. It's easy to get lost in the Macro lens here, but I imagine this will get more and more niche. I could see similar comparisons sprout amongst tiny / startup-y players, even used by services like G2 or Product Hunt to categorize how folks are doing and being portrayed... likely less via UGC and more on other magical sentiment analysis with pillars specific to their verticals or niches. Ok, back to work now 😇

Hello everyone, this time, I wanted to share three reads: Two are very important and very current, one taps into yet another insdustry phenomenon caused by my generation's seemingly unique logic for determining what's worth buying and what's not. Another talks about an AI-related can of worms kinda hot topic for brands in 2024, keping this year strong in a banquet-for-thought sense. The one that's left is a highly technical one for project managers, but the kind of thinking it delivers in the first half can be interesting for everyone to have new ideas on what constitutes "value" in the product development process. Yeah so just wanted to put these out there. _______________________________________ #marketing #marketresearch #genz #consumerbehaviour #consumerpsychology #dupe #marketingstrategy #AI # #misinformation #productdevelopment #productmanagement #productstrategy #strategic https://lnkd.in/dxiGxSrd https://lnkd.in/dS9wai5b https://lnkd.in/d3TbUHWM

Great chatting with the infamous Kendall Becker about how Trendalytics is giving its clients the insights needed to stay ahead of trends and optimize their strategies. Watch the full convo here: https://bit.ly/4eBYrli

From #AIInfluencers to digital fashion, #GenerativeAI is reshaping how the world will look in the future. #theceomagazine #inspiringthebusinessworld #business

AI IN FASHION AI has become an integral part of our lives, and its impact on the fashion industry is undeniable. Over the past few years, we've witnessed significant shifts in both consumer and producer behavior. Now, consumers can choose the perfect eyeglass shape or visualize how a garment looks on them—all from the comfort of their homes. AI has also revolutionized marketing and product development, making targeting customers more precise and efficient. With the positive effects far outweighing the challenges, I see this collaboration between fashion and AI as a promising path toward future progress. #visualmerchandising #senecafashion #AIinfashion #fashionAI

Trend forecasting and market intelligence firm Trendalytics is leveraging AI to help retailers make profitable, data-driven decisions. “Having all these different analytics points and AI to use is really powerful, and it’s a great way to foolproof your brand, make smarter investments, stay more sustainable and understand what the consumer actually wants,” said Kendall Becker, fashion and editorial strategy director at Trendalytics, during a fireside chat with Andre Claudio, staff writer of strategic content at Sourcing Journal. “At the end of the day, data and AI are there to help you, so it’s up to you to see what feels good and how you want to integrate them into your daily operations.” Watch the full fireside chat here: https://bit.ly/4eBYrli

😴 Algorithmic Boredom: How Technology Killed Brand Experience Key Insights: 👉 Heavy investment in big data and personalization leads to generic customer experiences, causing decision fatigue and lack of engagement. 👉Big data focuses on consumer actions to maximise sales but misses deeper insights from small data, such as attitudes and emotions. 👉The trend towards flat, simplified designs in the 2010s created a visually monotonous digital world, leaving consumers craving diverse and engaging brand experiences. 👉Businesses must navigate between leveraging technology and creating richer, more diverse brand experiences to stand out in the competitive market. In the drive for innovation, optimization and efficiency, businesses are investing heavily in big data, machine learning and personalization algorithms to enhance customer experiences. However, these innovations, while intended to create personalised and engaging interactions, are paradoxically leading to a more generic and monotonous customer journey. This phenomenon, which we term "Algorithmic Boredom," represents a challenge for brands aiming to differentiate themselves in an increasingly competitive market. 🔎 To discover more visit our website at www.kondopartners.com ✉ Contact us to discover how our approach can transform your brand, ensuring it stands out while meeting the evolving needs of consumers.

💡 The Future of Fashion is YOU: Consumers can now co-create their dream garment with generative AI. Imagine this: using AI to design a one-of-a-kind sneaker with patterns, brought to life with a few simple prompts. Here's why this marriage of fashion and AI can be a game-changer: 🔹 Unmatched PERSONALIZATION: Forget mass-produced, off-the-rack experiences. Fashion, especially luxury, is about feeling special, and this technology allows you to create a piece that embodies your individual style. 🔹 Engagement and innovation: Beyond creating a garment, these INTERACTIVE experiences are fostering a deeper connection between brands and their customers, while giving brands valuable INSIGHTS into customer preferences. 🧠 Luxury brands like Versace and Loewe are also leveraging generative AI to create MARKETING content that features their products in innovative ways. Versace saw an increased video play rate of 1,460% on its AI-generated social media video, compared to standard content. ⚠️ Concerns about transparency and potential job displacement exist, but brands are taking steps like clear disclosures and responsible IP usage to navigate these issues. 🌟 LVMH also recently announced its deepened partnership with Alibaba, leveraging the tech giant’s AI capabilities to drive innovations in the China market, potentially in ads, content, CLIENTELING, customer service, e-Commerce, OMNICHANNEL interactive shipping experiences, and even INTERNAL operations like manufacturing and supply chain (Check out my recent LinkedIn post on this). We are already seeing many AI applications that WORK, successfully strengthening products and transforming customer relationships, while improving efficiency. And we’ll continue to see many more that redefine the future of fashion and retail. What do you think? What excites you most about AI in fashion and retail? Thank you Maghan McDowell for the interesting sharing on Vogue Business. #AI #Fashion #CoCreation #Content #Retail

📍Digital Twin: Revolution in the Fashion World📍 In London, the model Alexsandrah took an unconventional step by creating a virtual, AI-generated version of herself. This innovative decision aims to secure her future in the constantly evolving world of fashion. Alexsandrah sees her AI counterpart as an opportunity to continue her career without the need to travel or take part in photoshoots. Her actions align with the growing trend of using artificial intelligence in the fashion industry. According to research conducted by the consulting firm McKinsey, over three-quarters of fashion executives consider AI a priority area in 2024, with more than a quarter already utilizing this technology in design and development. Despite the controversy, the demand for virtual models and influencers continues to grow. Fashion companies are increasingly recognizing the advertising potential of virtual characters, suggesting that this form of marketing may become even more significant in the future. https://bbc.in/3TfwUNO #FashionTech #VirtualModels #DigitalTwin #ProDisplay

Trend forecasting and market intelligence firm Trendalytics is leveraging AI to help retailers make profitable, data-driven decisions. “Having all these different analytics points and AI to use is really powerful, and it’s a great way to foolproof your brand, make smarter investments, stay more sustainable and understand what the consumer actually wants,” said Kendall Becker, fashion and editorial strategy director at Trendalytics, during a fireside chat with Andre Claudio, staff writer of strategic content at Sourcing Journal. “At the end of the day, data and AI are there to help you, so it’s up to you to see what feels good and how you want to integrate them into your daily operations.” Watch the full fireside chat here: https://bit.ly/4eBYrli Thank you to Trendalytics for supporting our Fall Summit. Abigail Hoagberg Cate Khan Samantha Gilpin Michael Appler