Fashion & Apparel Data Intelligence Solutions

Sizing normalization is one of the core challenges in fashion data. We extract each brand's native size labels alongside any measurements provided (chest, waist, hip, inseam in cm/inches), then map them to standardized international size equivalents. Where a brand provides a fit guide or model measurement reference, we extract those too, enabling genuine cross-brand size comparisons.

Yes. Several signals precede a markdown: inventory reduction, removal from featured placement, reduction in ad spend visibility, and price testing on subset audiences. Our system monitors these leading indicators and flags products with a high probability of upcoming markdown, typically 3-7 days before the discount becomes public.

Each size-color combination is extracted as an individual SKU record with its own availability status and price. At the parent product level, we aggregate variant-level data to give you availability completeness scores, most-available versus sold-out size distributions, and color variant pricing differences. This structure supports both product-level and SKU-level analysis.

Yes. We cover Depop, Vinted, ThredUp, The RealReal, Vestiaire Collective, Poshmark, and StockX alongside new retail platforms. For luxury and streetwear categories in particular, resale price premiums or discounts relative to retail are a critical intelligence signal. We link resale listings to their original retail products by brand, style name, and color.

Yes. We monitor brand lookbook releases, runway show coverage on sites like Vogue Runway and Style.com, and wholesale platform new arrivals on JOOR and NuOrder. These upstream sources often provide 3-6 months of lead time on trend direction before products appear on retail sites, giving you a significant head start on trend forecasting.

High-volume new arrival tracking is a core capability. For retailers like SHEIN, Temu, Zara, and H&M that add hundreds to thousands of new products daily, we run continuous discovery crawls that identify and index new listings within hours of publication. New arrival velocity data — how many new SKUs a brand adds per day by category — is itself a valuable competitive signal.

The global fashion and apparel market is valued at approximately $1.7 trillion, making it one of the largest consumer goods industries in the world. E-commerce now accounts for roughly 25-30% of total fashion sales, a share that continues to grow. The market is highly fragmented, with no single brand holding more than a few percent of global share, which makes competitive intelligence particularly valuable for positioning and pricing decisions.

The fashion industry is responsible for an estimated 2-8% of global carbon emissions, more than international aviation and shipping combined. It is also the second-largest consumer of water globally, with a single cotton t-shirt requiring approximately 2,700 liters of water to produce. These environmental concerns are driving regulatory action, including the EU's forthcoming Digital Product Passport requirements and France's anti-waste laws that ban the destruction of unsold clothing.

The traditional fashion calendar operates on two main seasons — Spring/Summer (shown in September-October, delivered January-March) and Fall/Winter (shown in February-March, delivered July-September). However, fast fashion and direct-to-consumer brands have disrupted this cycle by operating on continuous release schedules with much shorter lead times. Many brands now release monthly or even weekly 'drops' to maintain consumer engagement and reduce overproduction risk.

The secondhand fashion market is valued at over $200 billion globally and is growing 3-5 times faster than the primary fashion market. Platforms like ThredUp, Poshmark, Depop, and The RealReal have made resale mainstream, particularly among Gen Z and Millennial consumers. Major brands including Levi's, Patagonia, and Eileen Fisher have launched their own certified resale programs, recognizing that participating in the circular economy is preferable to ceding that revenue to third-party resellers.

Online fashion return rates average 25-40%, significantly higher than most other e-commerce categories, with sizing and fit issues cited as the primary reason. This costs retailers an estimated $100+ billion annually in the US alone when factoring in shipping, processing, and restocking expenses. Emerging technologies like AI-powered fit recommendation tools, virtual try-on using augmented reality, and standardized body scanning are being adopted to reduce return rates, though industry-wide sizing standardization remains elusive.

Fashion weeks in New York, London, Milan, and Paris remain important for brand positioning and media coverage, but their commercial function has evolved significantly. Wholesale buying increasingly happens through digital showroom platforms like JOOR and NuOrder rather than physical trade shows. Consumer-facing runway livestreams and social media coverage have transformed fashion weeks into marketing events, while regional trade shows like MAGIC, Premiere Vision, and Canton Fair remain critical for sourcing and supply chain relationships.