Browzwear’s Post

😴 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 Profit Playbook is here! The way fashion brands are valued is changing as exponential growth and market share no longer stand for long-term success. Brands and retailers must shift their business models to focus on profitability, and the time is now. With new insights, expert advice, and a look at the strategies in play from the world’s biggest brands, the Profit Playbook will unpack the science of profit growth down to pricing precision, merchandising and up-to-the-minute technology. Discover the ultimate guide to driving profit for growing fashion brands, including: 📈 Strategies to price, forecast and markdown for profitability 👨🏼💻 The most important e-commerce metrics for inventory management 🦾 How and why to implement AI and automation for profit growth 📦 How to assess the impact of your returns policy on your bottom line ✔️ How the best-performing brands are keeping customers hooked Download your copy now: https://loom.ly/VlGaRrE

Kantar’s 2024 BrandZ report is out! Apple breaks $1 trillion in brand value while tech and AI continue to dominate the global stage. Discover the top 10 takeaways here: Kantar BrandZ 2024 Insights #BrandValue #Innovation

Kantar’s 2024 BrandZ report is out! Apple breaks $1 trillion in brand value while tech and AI continue to dominate the global stage. Discover the top 10 takeaways here: Kantar BrandZ 2024 Insights #BrandValue #Innovation

A recent report from Boston Consulting Group (BCG) has mentioned that in their survey of 1,000 senior executives, 83% list innovation as one of their top 3 priorities, but only 3% believe their companies are “innovation-ready.” In our work at KIVALUE, we find that for mid-size fashion retailers the same is true. One of the reasons is that innovation requires a totally different approach compared to what they are used to – optimising their processes. In other words, focus on optimisation very often stops you from innovating. It's important to say that optimisation is not necessarily a wrong approach and it might produce the benefits that you're looking for. But it definitely will not help you access a different range of benefits. If you are hoping to unlock more opportunities through innovation, the BCG report (link in the comments) has some suggestions on how to “bring your innovation mojo back.” Here are some examples of what this could look like for mid-size fashion retailers: ➜ Focus on innovations that are likely to drive a competitive advantage. For many fashion retailers, that could mean changing their white-space analysis processes, for example, adding external sources of data or AI recommendations on assortment planning. ➜ Seek clarity on where to innovate. Time, budget and resources are natural constraints that all businesses have. By being clear on where the high-return strategic opportunities are, you can see where to focus your innovation efforts. ➜ Define where to allocate your resources. At KIVALUE, we invite our clients to think big – and to roll out innovations carefully, starting with small-scale projects to prove ROI. I would like to stress that innovation is not always the right answer. That said, I would invite all mid-size fashion retailers to consider innovative approaches as a part of their business strategy. #BusinessStrategy #FashionRetail #AssortmentPlanning #AI

I'm a sucker for brand metrics so when The Business of Fashion drops an AI powered brand study I'm all ears. I like the general methodology and it's intriguing to have an AI analyze brand alignment. I get why brand/audience alignment is a measure of brand strength but that little annoying contrarian in me says that the opposite could also be true. My sentiment has always been that a truly strong brand that stands the test of time is one which lets the audience interpret and make it their own (like a blank canvas). If that's the case, misalignment (in combination with high engagement and intent) may actually be an equally telling indicator of strong brand equity. Ok, that just did my head in. What do you think? #brand #ai #idontknow https://lnkd.in/gBrQSY2m

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 😇

f you own an ecomm brand that sells consumer durable goods, it is very likely that you started by implementing a White label or private label model. If you started with white label, there may have been a time when you decided to start adding small differentiations to your products to make them stand out from competitors and so, you moved up a step of the ladder by going from white label to Private label.  And, you may think that this is the final step and that there's no more transformation after this, however this is not true. There's still a lot of room for growth and transformation.  The next step is to do design internalization. To do this, you must hire an internal product development team, this will allow you to create new products that are more unique and which are harder for your competitors to keep up with.  This is what we call an innovation driven ecommerce. Comment on innovation ecommerce to learn more.

Today, successful fashion is not design-driven, it’s data-driven. By analysing millions of social media posts, Google searches and online fashion content through our AI platform we get deep and comprehensive insights of your customers behaviour, marketplace drivers, competitors, brand preferences, and ultimately the future of your market. Learn more on: https://lnkd.in/dj5cX6Vf Navet Analytics Anna Nordström Carlsson Pehr Andersson Göran Hellström Sebastian Billing Ulrik von Szokolay

#Mango has 15 different digital intelligence platforms, covering everything from pricing to personalization…🎯 📈According to a recent McKinsey survey #GenAI is poised to unlock between $240 billion to $390 billion in economic value for retailers, equivalent to a margin increase across the industry of 1.2 to 1.9 percentage points. ⚠️AI's potential to personalize shopping experiences, optimize inventory management, and provide actionable insights makes it an essential tool for retailers aiming to stay competitive, failing to invest in this technology could leave brands struggling to meet the rapidly evolving demands of the market #retail #tech #investment