How to Build Winning Assortments Using Woveninsights' Feature-Level Data
In a fashion market where customer expectations shift faster than traditional planning cycles, brands can’t rely on guesswork or outdated trend intuition. Winning assortments today are built on a deep understanding of what features shoppers prefer; from necklines and silhouettes to closures, trims, materials, and functional details.
Using Woveninsights’ Market Insights module, fashion teams can analyse feature-level performance across thousands of products and dozens of competitors, enabling more accurate buying decisions and more commercially aligned assortments.
This article breaks down how brands can use feature-level data to refine new-season assortments, reduce risk, and consistently build collections that convert.
Why Feature-Level Data Matters
While categories and colours reveal broad direction, features tell you exactly what drives purchases. These granular attributes influence fit, comfort, aesthetics, and even perceived value and they heavily shape consumer behaviour.
Feature-level insights help answer questions such as:
- Which necklines are performing strongest this season?
- Are customers choosing zip closures over buttons?
- What sleeve lengths or silhouettes are trending in key markets?
- Which embellishments are seeing the highest demand?
- How do feature preferences differ across brands and categories?
With this level of clarity, assortment building becomes data-led, not assumption-led.
1. Identify the Features That Drive High Demand
Woven Insights allows users to analyse the top features within any category, across any brand or time period.
By examining the leading features in your target market—whether it’s puff sleeves in Dresses, ribbed textures in Knitwear, or adjustable straps in Lingerie—you can align new-season products with what customers are already responding to.
This reduces assortment risk and ensures that designs resonate with proven demand patterns rather than speculative trends.
2. Benchmark Against Competitors to Spot Gaps
One of the most valuable uses of feature-level data is competitive benchmarking.
You can instantly compare:
- Which features your competitors are prioritising
- Where they have heavy SKU density
- What details they consistently restock
- Feature gaps in their assortment that you can fill
For example, if multiple competitors are pushing minimalist silhouettes and your assortment skews heavily embellished, you can adjust your range based on real market direction not surface-level observations.
3. Build Balanced Assortments Based on Feature Distribution
Winning assortments are not just about having “on-trend” items — they require balanced distribution.
Woven Insights’ feature breakdowns help you plan:
- How many SKUs each feature should hold
- Which features should lead the assortment
- Which features should remain supporting details
- When to double down on trending attributes
For instance, if data shows that cropped hems appear in 35% of best-performing Tops across the market, you can fine-tune your ratio to match demand.
This avoids overbuying low-performing details or under-representing high-demand ones.
4. Use Replenishment-Linked Features to Identify Consistent Bestsellers
Feature-level replenishment insights reveal the details that repeatedly sell out.
Examples could include:
- Button-front silhouettes being restocked all year
- Neutral-toned ribbed knit tops returning multiple times
- Recurrent replenishment for mid-rise, wide-leg jeans
These aren’t just trends, they are commercial truths.
When building new-season assortments, prioritising features tied to replenishment helps you replicate proven success and reduce buy risk.
5. Predict Upcoming Trends Before They Peak
Because Woven Insights tracks thousands of SKUs across time, it helps teams identify emerging feature patterns early.
This gives designers and buyers the ability to:
- Spot rising details before competitors
- Introduce fresh features without taking blind risks
- Prepare assortments ahead of trend curves
Whether it’s a shift towards oversized pockets, quilted textures, or asymmetric hems, seeing the early movement gives you a competitive advantage.
Conclusion
Woveninsights’ feature-level data empowers fashion teams to build assortments with unmatched accuracy. By understanding the details driving performance across the market, brands can reduce risk, improve product relevance, and align their designs with real customer demand.
Instead of relying on intuition or limited sample sets, teams can now create commercially grounded collections that resonate season after season.
About Woveninsights
Woveninsights is a comprehensive market analytics solution that provides fashion brands with real-time access to retail market and consumer insights, sourced from over 70 million real shoppers and 20 million analyzed fashion products. Our platform helps brands track market trends, assess competitor performance, and refine product strategies with precision.
Woveninsights provides you with all the actionable data you need to create fashion products that are truly market-ready and consumer-aligned.
Click on the Book a demo button below to get started today.
