How Data Scraping Helps Luxury Retailers

“𝘈𝘭𝘭𝘰𝘤𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰 𝘭𝘰𝘯𝘨𝘦𝘳 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘩𝘪𝘴𝘵𝘰𝘳𝘪𝘤𝘢𝘭 𝘧𝘰𝘳𝘦𝘤𝘢𝘴𝘵𝘴, 𝘣𝘶𝘵 𝘰𝘯 𝘳𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘰𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘥𝘳𝘪𝘷𝘦𝘯 𝘣𝘺 𝘢𝘤𝘵𝘶𝘢𝘭 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘢𝘤𝘳𝘰𝘴𝘴 𝘢𝘭𝘭 𝘤𝘩𝘢𝘯𝘯𝘦𝘭𝘴.” At Aton S.p.A. Società Benefit, we’ve just released “Sell Out 2025 - Visibility, velocity and value in global retail”, a report that explores how leading fashion, eyewear and luxury brands are transforming sell-out visibility into measurable value. The study highlights five major trends reshaping the industry: 1️⃣ The rise of micro-brands - agility and community reshape luxury retail 2️⃣ Social commerce - from feed to checkout in 48 hours 3️⃣ Agentic AI - the new digital storefront for every brand 4️⃣ Lean omnichannel - how data-driven orchestration drives growth 5️⃣ Sustainability that sells - the DPP measures impact, sell-out reveals demand The report highlights that sell-out data is not just a metric, but a strategic asset. Its quality and certification directly influence profitability, agility, and decision-making. When allocation is guided by real-time performance rather than historical forecasts, retail operations become faster, leaner, and more adaptive. 🔗 The full white paper is available in English, Italian, French, and Spanish - link in the first comment to access the download page. #Retail #SellOut #Wholesale #RetailAnalytics #Data #Fashion #Luxury #Eyewear

⏰ The fashion market is evolving faster than ever — and real-time data is now the runway to winning consumer attention. In today’s #hypercompetitive landscape, platforms like #Snapdeal, #Shopsy, and #Shein are updating prices, offers, and trends in real time. What’s “in” this morning might already be replaced by something new by afternoon. And brands that rely on delayed insights? They’re already a step behind. That’s why #RealTimeAPIScraping has become one of the most powerful competitive tools in modern fashion retail. 📊 Track price drops the moment they happen 👗 Spot emerging fashion trends instantly 💄 Monitor product availability and SKU changes in real time 📈 Understand consumer demand before competitors react From #DynamicPricing to trend forecasting, #RealTimeIntelligence gives fashion brands the speed, clarity, and precision needed to lead the 2025 retail race. 🚀 Want to stay ahead of the curve? Connect with us to explore how real-time data can supercharge your retail strategy. 📧 Email: sales@opticsdatasolutions.com 🌐 Website: https://lnkd.in/d_kvPWtS #Ecommerce #FashionTech #RetailInnovation #DataAnalytics  #Snapdeal #Shopsy #Shein #RetailIntelligence #PriceTracking  #CompetitiveIntelligence #RealTimeData #APIIntegration  #MarketInsights #DigitalTransformation #RetailAnalytics  #TrendForecasting #FashionData #RealTimeScraping  #RetailStrategy #2025Trends #OpticsDataSolutions

5 recent reports 📜 - 1️⃣ Resale’s Next Chapter: How Fashion and Luxury Brands Can Win in the Secondhand Market [BCG] Link: https://lnkd.in/gN_8wKGM By: Fanny Moizant, Felix Krueger, Catharina Martínez-Pardo, Pierre Dupreelle, Judith Vitrani, Charles Gardet, Dounia Wone, Alice Hebrard-Lemaire, Delphine Baz, Erika Dietze, María Lasa Aresti 2️⃣ Brand Footprint 2025 [Kantar] Link: https://lnkd.in/gfyEJKN9 By: Kantar, Worldpanel 3️⃣ YouTube Shopping Trends Report 2025: The evolving world of shopping on YouTube Link: https://lnkd.in/gfBCASzw 4️⃣ Hacking the Attention Economy [VCCP] Link: https://lnkd.in/gtbn7syz By: VCCP Media, Karen Nelson-Field PhD 5️⃣ The Advertising Effectiveness of in-store Retail Media [SMG] Link: https://lnkd.in/gP9PnwZn By: Andrew Lipsman #advertising #effectiveness #resale #retail #ecommerce #fashion #attention #creatoreconomy #retailmedia #shopping #trends #youtube #branding #luxury #bcg #kantar #media #marketing #store

🎯 Fashion e-commerce in 2025 is driven by dynamic pricing, rapid deal cycles, and real-time consumer behavior shifts. As top platforms roll out faster promotions and deeper discounts, #scrapingfashionmarketplaces has become essential for understanding how deals evolve across brands, categories, and regions. 📊 Key insights you can uncover: Frequency and depth of discounts across major fashion labels Regional variations in pricing and promotional patterns Brand-level benchmarking to identify aggressive vs. stable discounters Inventory signals that reveal upcoming flash deals or stock pressure Timing patterns showing when consumers engage most with deals 🧠 Why this intelligence matters: Plan promotions more effectively with real-time competitor insights Predict discount windows and respond with smarter pricing Identify high-opportunity categories and emerging consumer trends Strengthen inventory and assortment decisions using data Build automated dashboards for continuous deal monitoring 👉 Explore the full insights here: https://lnkd.in/dDWUpbBU #FashionEcommerce #FashionDeals #DiscountTrends #PricingInsights #EcommerceData #MarketIntelligence #DataScraping #RetailAnalytics #CompetitiveIntelligence #ConsumerBehavior #PromoAnalysis #FashionTech #EcommerceInsights #ActowizSolutions

3Q25 Earnings: Double-Digit Growth in Apparel, E-Commerce and Luxury, but Clear Weak Spots Emerge Our latest Earnings Insights 3Q25 report reveals one of the most dynamic quarters we’ve seen this year, with strong performance in several key categories, and notable softness in others. Here’s what stood out: 🔹 Apparel, e-commerce and luxury posted double-digit sales growth, led by global players such as Amazon, MercadoLibre, Deckers Outdoor, Hermès, and LVMH. 🔹 At the same time, Under Armour, Clorox and Coty reported areas of weakness, reflecting shifting consumer demand and heightened price sensitivity. 🔹 Retailers are navigating tariffs, inflation and macroeconomic pressure, prompting tighter inventory discipline and margin management. 🔹 Across categories, companies highlighted AI adoption, digital innovation and store-level modernization as key levers for improving efficiency, loyalty and long-term growth. This report breaks down: • Revenue, EPS and comparable-store sales results across major global brands • Category performance from apparel to beauty, CPG, home improvement and grocery • Retailers’ updated guidance for 4Q25 and FY26 • How consumer behavior is changing across premium and mass-market segments • The evolving role of AI and e-commerce in driving operational and financial performance If you want a clear, data-driven view of who’s winning, who’s struggling and what’s driving performance, this is the analysis to read. 👉 Access the full report on our website: https://hubs.la/Q03Tb9kP0 #CoresightResearch #EarningsInsights #RetailEarnings #RetailTrends #Apparel #Ecommerce #LuxuryRetail #ConsumerTrends #RetailFinance #MarketAnalysi

Is Fashion Retail Back in Fashion? For the last few years everyone claimed physical retail was finished. They were wrong. McKinsey’s 2024 fashion report shows in-store conversion is still 8–12x higher than online. Bain reports luxury customers who shop both online and in-store have 20–40% higher lifetime value than single-channel buyers. And in the US, bricks-and-mortar fashion traffic has risen three quarters in a row. Consumers are returning to the shop floor for one simple reason: Touch, fit and experience still matter. No screen replicates that moment when fabric, cut and proportion actually feel right. That’s why the winners in the next cycle won’t be the ones shouting the loudest online… It’ll be the ones with discipline — inventory, margins, store economics, and customer care handled like the old guard always did it. This is why PCJ Group are rolling out a major physical retail expansion — US first, then internationally — supported by a serious omnichannel engine behind the scenes. Not nostalgia. Not spray-and-pray. A targeted build-out designed for unit productivity and brand longevity. And yes — there’s capital behind this. This industry is coming full circle — back to reality, back to touch, back to the places where luxury actually comes alive. If you’d like to find out more about the $80M raise, we open the round on Monday 24 November. In the meantime, request the investor summary here: barry@aldridgeritchiecapital.com . #FashionRetail #Luxury #Omnichannel #Retail #InvestorRelations #PCJGroup #PrivateCapital #FamilyOffice #ConsumerBrands #RetailStrategy #Growth

Is Fashion Retail Back in Fashion? For the last few years everyone claimed physical retail was finished. They were wrong. McKinsey’s 2024 fashion report shows in-store conversion is still 8–12x higher than online. Bain reports luxury customers who shop both online and in-store have 20–40% higher lifetime value than single-channel buyers. And in the US, bricks-and-mortar fashion traffic has risen three quarters in a row. Consumers are returning to the shop floor for one simple reason: Touch, fit and experience still matter. No screen replicates that moment when fabric, cut and proportion actually feel right. That’s why the winners in the next cycle won’t be the ones shouting the loudest online… It’ll be the ones with discipline — inventory, margins, store economics, and customer care handled like the old guard always did it. This is why PCJ Group are rolling out a major physical retail expansion — US first, then internationally — supported by a serious omnichannel engine behind the scenes. Not nostalgia. Not spray-and-pray. A targeted build-out designed for unit productivity and brand longevity. And yes — there’s capital behind this. This industry is coming full circle — back to reality, back to touch, back to the places where luxury actually comes alive. If you’d like to find out more about the $80M raise, we open the round on Monday 24 November. In the meantime, request the investor summary here: barry@aldridgeritchiecapital.com . #FashionRetail #Luxury #Omnichannel #Retail #InvestorRelations #PCJGroup #PrivateCapital #FamilyOffice #ConsumerBrands #RetailStrategy #Growth

Zalando Data Scraping for Gen Z Trends : Unlocking Youth-Focused Fashion Insights Understanding Gen Z’s style preferences is essential for any fashion brand today. With automated scraping of Zalando data—covering product listings, pricing, stock, reviews and influencer-driven trends—you can gain front-row access to what this dynamic cohort is buying, wearing, and valuing. With #zalandogenztrendscraping, you can: ✅ Monitor trending styles, colors & SKUs among Gen Z shoppers ✅ Analyze pricing & discount strategies that resonate with younger buyers ✅ Capture inventory and availability signals of high-demand items ✅ Track sentiment in reviews and social cues driving youth purchases ✅ Benchmark your brand’s positioning against competitors targeting Gen Z By turning real-time fashion-ecosystem data into actionable insight, your brand can stay ahead of the curve, optimize assortments, and speak directly to Gen Z’s unique needs and values. 🔗 Learn more: https://lnkd.in/d5zZTpyZ #ZalandoData #GenZFashion #YouthTrends #FashionAnalytics #WebScraping #RetailIntelligence #PriceInsights #InventoryStrategy #InfluencerTrends #DataDrivenFashion #StreetwearAnalysis #EcommerceTrends

A must-attend session for any retail leader! The 2025 holiday story is full of contradictions: e-commerce is underperforming while physical stores are overperforming. Next Wednesday, my esteemed colleague, John Samuel, is joining Jenna McCambridge  (EDITED) to discuss how to navigate this. They'll be merging two powerful datasets: - The "why" from the AlixPartners Consumer Sentiment Index (brought by John). - The "what" from EDITED's view of the competitive marketplace (brought by Jenna). Join them to hear the data-driven story for how to win in 2026: [https://lnkd.in/eqdXq7uy] #AlixPartners #Retail #WhenItReallyMatters

Excited to share the latest deep dive into shopping behavior! 🛍️ Analyzing purchase patterns across shipping types, customer demographics, and payment methods has yielded some great insights. Key takeaways from the dashboard: Top Category: Clothing remains the most purchased product category. Best-Selling Item: Blouse leads in sales, showing consistent demand. Average Item Rating: Gloves rank highest with an average of 3.8 stars. Dominant Age Group: Middle-aged customers are the most active shoppers. Preferred Payment Method: Credit Card transactions take the lead. Outstanding Shopping Season: Fall shows the highest engagement and spending. 📈 Dashboard Highlights: Visualized shipping types, categories, payment modes, and age group distributions. Integrated insights from multiple metrics such as purchase amount, customer demographics, and item ratings. Presented data using intuitive visuals and storytelling to enhance decision-making clarity. Observations: 1. Middle-aged and male customers are the dominant shoppers. 2. Clothing is the top-selling category, while outerwear and footwear are seasonal. 3. Spring and winter record the highest sales activity. 4. Discounts, promo codes, and frequent shopping drive higher revenue. 5. PayPal and credit cards are the most preferred payment methods. 6. Loyal and subscribed customers show stronger satisfaction and generate more value. Recommendations: 1. Target marketing efforts toward middle-aged and loyal customers. 2. Maintain consistent clothing stock and adjust outerwear/footwear seasonally. 3. Continue using discounts and introduce loyalty rewards to retain repeat buyers. 5. Improve delivery speed and customer service to boost satisfaction. 6. Strengthen preferred payment options and introduce alternative methods for flexibility. 🧠 Tools Used: Excel (Data Cleaning, and Visualization) This project reflects how data visualization can transform complex datasets into actionable insights that support smarter business strategies. #DataAnalysis #BusinessIntelligence #Dashboard #RetailInsights #ShoppingBehavior Vephla University.