In-store shopping allows customers to try on multiple sizes, helping them make informed decisions. But online, that option isn’t available. Instead, many shoppers end up purchasing three sizes just to find the right one – driving up return rates and creating frustration for both customers and fashion brands.
Why Size Recommendations Must Go Beyond Simple Measurements
To replicate the in-store fitting experience, size recommendation tools must align customers’ body measurements with the garment’s measurements. However, successful size calculations require more than just that. They must also consider:
- Body Shape
- Fit Preference
- Fabric Elasticity
- Garment Design
If you use on your website a size recommendation tool that skips these crucial factors, you could be losing both customers and sales.
The Importance of Accurate Sizing in Fashion
Through years of experience – from creating thousands of made-to-measure garments to helping customers find the right size online – we’ve learned what it takes to get sizing right.
Because we knew that when producing made-to-measure clothing, there’s no room for mistakes – especially for one of the most important days in our customers’ lives. We had to strictly follow our made-to-measure rules to ensure our garments fit our customers perfectly when they received them.
This level of precision inspired the creation of SizeSense.ai. We don’t claim to be revolutionary – we’ve simply transformed traditional patternmaking and tailoring knowledge into code, applying tried-and-tested methods to software.
What Happens If Key Sizing Factors Are Missed?
If a size recommendation tool overlooks key factors, inaccurate suggestions can mislead customers, increase returns, and harm your sales. Here’s what can go wrong:
❌ No 1:1 Alignment Between Body and Garment Measurements
Many size recommendation tools rely on flawed methods like:
- Analyzing past customer purchases
- Matching size guides across brands
- Recommending sizes based on similar height and weight profiles
These approaches fail to account for each garment’s unique measurements, design, and manufacturing variations — often increasing return rates.
❌ Ignoring Fabric Elasticity
Elasticity plays a huge role in garment fit. For example, a pear-shaped customer shopping for jeans may be told they won’t fit her hips if fabric stretch isn’t considered — costing fashion brands a sale.
❌ Overlooking Garment Design
A customer may wear one size in a loose, elastic dress but need a size or two up for a non-stretch shift dress. Ignoring these design differences often results in incorrect recommendations and frustrated shoppers.
❌ Ignoring Body Shape
Two people with the same height and weight can have vastly different proportions. Without factoring in body shape, size recommendations become unreliable, increasing the risk of returns.
❌ Neglecting Fit Preferences
Fit preferences vary widely:
- 17% of women prefer fitted clothing
- 20% of women prefer looser fits
- The remaining majority prefer a standard fit
Ignoring these preferences can lead to dissatisfied customers and more returns.
The Future of Fashion Sizing: Combining Craftsmanship with Technology
Craftsmanship will always be at the heart of fashion. When combined with coding expertise, it holds the key to solving the fit problem — helping customers find their perfect size faster while reducing return rates for fashion brands.
At SizeSense.ai, we’ve merged patternmaking knowledge with technology to ensure precise size recommendations that consider all the crucial factors — giving your customers confidence in their purchase decisions and helping your brand thrive in the competitive fashion market.
Ready to reduce returns and improve customer satisfaction? Discover how SizeSense.ai can revolutionize your online sizing experience today.
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