Optimizing Product Bundles Based on Purchase Behavior Trends Want to drive higher AOV and reduce overstock? Learn how to use purchase behavior data to create smarter product bundles that convert and retain.
Paris Men’s Fashion Week SS26 A breakdown of the key trends from Paris Men’s Fashion Week SS26 featuring relaxed fits, bold prints, thoughtful accessories, and standout collections from designers like Hermès, KidSuper, Kiko Kostadinov, and more.
How to Turn Competitive Intelligence into Tactical Action Competitive intelligence is only useful when applied. Learn how fashion brands can turn competitor insights into tactical, data-driven decisions across product, pricing, and positioning.
The Link Between Product Features and Emotional Value in Fashion Beyond function, fashion products create emotional impact. Discover how features like fabric, fit, and color influence emotional value and shape brand loyalty.
How to Balance Trend Responsiveness and Brand Identity In fast fashion, speed matters but not at the expense of brand DNA. Learn how data can help fashion brands stay on trend without losing their identity.
Milan Fashion Week Men's Spring/Summer 2026 Explore the top menswear trends from Milan Fashion Week Spring/Summer 2026, from colors and fits to accessories, prints, and standout designer moments
Fashion Localization Tactics for Emerging Markets: A Data-Driven Guide Entering emerging fashion markets? Discover proven localization tactics backed by data that help brands align assortments, pricing, and design with regional demand.
Lululemon’s 2025 Product Assortment: A Complete Breakdown Lululemon’s rise from niche yoga brand to global activewear leader is no accident. In 2025, the company continues to evolve, blending performance gear with casual lifestyle pieces and fashion-forward drops. To understand how the brand is shaping its assortment, we analyzed over 20,000 Lululemon products using Woven Insights’
The Best Data Sources for Niche Fashion Categories Struggling to find reliable insights for niche fashion segments? Discover the best data sources to track demand, trends, and consumer behavior in niche fashion categories.
How to Use Review Data to Improve Design Iteration Fashion brands can go beyond star ratings. Learn how to use review data to refine design decisions and build better-performing products, season after season.
What Consumer Reviews Reveal About Marketplace vs Brand Website Buying How do shoppers feel about buying fashion on marketplaces vs brand sites? Learn what consumer reviews reveal about trust, satisfaction, and experience across both channels.
Lacoste’s Best-Selling Color Trends: Insights from Woveninsights Lacoste has always stood out for its clean lines, sporty elegance, and confident use of color. In 2025, the brand continues to lean into that identity with a palette that blends heritage tones and everyday versatility. To understand which colors are truly driving performance this year (Jan - May), we
How Market Analytics Can Reveal Untapped Consumer Demand Discover how fashion brands use market analytics to uncover unmet demand, spotting growth opportunities and improving category performance.
Why Understanding Trend Velocity Is Key to Fast Fashion Strategy In fast fashion, timing is everything. Learn why understanding trend velocity is critical for driving better buys, higher margins, and smarter market moves.
How Fashion Brands Use AI to Predict Trend Fatigue Learn how fashion brands use AI to predict trend fatigue helping avoid markdowns, improve inventory management, and stay ahead of consumer demand.
D2C vs Marketplace: Which Model Wins Based on Customer Data? D2C or marketplace, what drives better customer outcomes? Explore what the data says about both models, from loyalty to profitability, in today’s fashion landscape.
Ugg’s 2025 Footwear Color Trends: Warm, Cozy & Stylish Ugg has built a loyal global following around comfort, casual style, and year-round versatility. In 2025, that aesthetic remains strong with a clear focus on timeless, warm neutrals. We analyzed over 8,000 Ugg footwear products using Woveninsights’ Market Insights module to uncover the top-selling colors for the period of
What Category Managers Need from Market Intelligence Tools Category managers need more than dashboards, they need clear, actionable insights. Discover what features matter most in market intelligence tools for fashion retail.
The Challenges of Cross-Border Trend Forecasting in Fashion Global trends don’t travel evenly. Learn the key challenges fashion brands face when forecasting trends across regions and how to build smarter cross-border strategies.
Most Restocked Categories in New Look’s 2025 Fashion Line Restock frequency is one of the clearest signals of product demand in fast fashion. What gets restocked consistently isn’t just what’s trending, it’s what’s driving revenue and repeat purchase cycles. In analyzing New Look’s 2025 assortment, covering 6 months leading up to May, we tracked
The Psychology of Return Behavior in Fashion E-commerce Why do customers really return fashion items? Explore the psychology behind return behavior in fashion e-commerce and how brands can use this insight to reduce returns.
What Fashion Brands Get Wrong About AI Adoption (And How to Fix It) AI in fashion promises speed and precision but many brands struggle with implementation. Here’s what they get wrong about AI adoption, and how to course-correct for real ROI.
How Sentiment Trends Differ Between Luxury and Mass Market Fashion Consumer sentiment doesn’t look the same across fashion tiers. Discover how sentiment trends diverge between luxury and mass market and what it means for brand strategy.
Are Microtrends Still Relevant in 2025? A Data Perspective Microtrends rise and fade fast but are they still worth following in 2025? Discover what the data says about their impact on fashion strategy today.
The Future of Fashion Marketplaces: What Data Tells Us Fashion marketplaces are evolving fast. Explore the data trends shaping their future from brand performance to consumer behavior and what it means for fashion retailers.