Understanding Size Tables
Size tables are the foundation of SmartSize AI Fit Recommender’s recommendation engine. They define the measurement ranges for each size in your product catalog and enable the system to match customer measurements to the best fitting sizes.
What is a Size Table?
A size table is a structured collection of size definitions, where each size includes:
- Size Name: The label customers see (XS, S, M, L, XL or numerical sizes)
- Measurement Ranges: Minimum and maximum body measurements for each size
- Size Order: Sequential arrangement from smallest to largest
Size Table Components
Size Names
- Traditional letter sizes: XS, S, M, L, XL, XXL, XXXL
- Numerical sizes: 0, 2, 4, 6, 8, 10, 12, 14, 16, 18
- Custom sizes: Brand-specific sizing systems
- Mixed systems: Combination of letters and numbers
Measurement Types SmartSize AI Fit Recommender supports three body measurements:
- Chest/Bust Circumference: Upper torso measurement around the fullest part
- Waist Circumference: Natural waistline measurement
- Hip Circumference: Measurement around the fullest part of the hips
Measurement Ranges Each measurement has minimum and maximum values:
- Minimum: Smallest measurement that fits the size
- Maximum: Largest measurement that fits the size
- Overlap: Sizes can have overlapping ranges for comfort fits
How Size Recommendations Work
SmartSize AI Fit Recommender’s recommendation engine matches customer measurements to your size table using a sophisticated algorithm:
Measurement Matching Process
- Data Collection: Customer provides their body measurements
- Range Comparison: System compares measurements against size table ranges
- Fit Scoring: Each size receives a fit score based on measurement alignment
- Weight Application: Different measurements are weighted based on garment category
- Recommendation Generation: Best-fitting size is recommended with confidence level
Garment Category Impact
Different garment categories prioritize different measurements:
Top Garments (Shirts, Blouses, Jackets)
- Primary: Chest/bust measurements (80% weight)
- Secondary: Waist measurements (40% weight)
- Minimal: Hip measurements (20% weight)
Bottom Garments (Pants, Skirts, Shorts)
- Primary: Waist and hip measurements (80% weight each)
- Minimal: Chest/bust measurements (20% weight)
Full-Body Garments (Dresses, Jumpsuits)
- Balanced: All measurements considered equally important
- Slight emphasis: Waist measurements (central fitting point)
Fit Calculation Examples
Example 1: Women’s T-Shirt (Top Category)
Customer measurements: Bust 86cm, Waist 70cm, Hip 92cm
Size M range: Bust 84-88cm, Waist 68-72cm, Hip 90-94cm
Fit score calculation:
- Bust: Perfect fit (86cm within 84-88cm range) → High score
- Waist: Good fit (70cm within 68-72cm range) → High score
- Hip: Good fit but low weight → Minimal impact
Result: Size M recommended with high confidence
Example 2: Women’s Jeans (Bottom Category)
Customer measurements: Bust 86cm, Waist 70cm, Hip 92cm
Size 8 range: Waist 69-73cm, Hip 91-95cm
Fit score calculation:
- Waist: Good fit (70cm within 69-73cm range) → High score
- Hip: Good fit (92cm within 91-95cm range) → High score
- Bust: Ignored for bottom garments
Result: Size 8 recommended with high confidence
Size Table Quality Factors
Well-Structured Size Tables
Complete Coverage
- No gaps between size ranges
- Appropriate overlap for comfort
- Logical progression from small to large
Realistic Measurements
- Based on actual garment measurements
- Account for fabric stretch and fit style
- Validated against customer feedback
Consistent Naming
- Follow standard size conventions
- Match your brand’s existing sizing
- Clear and customer-friendly labels
Common Size Table Issues
Measurement Gaps
❌ Poor: Size S (80-84cm), Size M (86-90cm) - Gap at 85cm
✅ Good: Size S (80-85cm), Size M (84-89cm) - Proper overlap
Inconsistent Ranges
❌ Poor: Varied range sizes (S: 4cm range, M: 8cm range)
✅ Good: Consistent range sizes (All sizes: 5-6cm range)
Incorrect Ordering
❌ Poor: Sizes not arranged from smallest to largest
✅ Good: Progressive sizing (XS < S < M < L < XL)
Measurement Units and Conversion
Supported Unit Systems
Metric System (Centimeters)
- Standard international measurement system
- Decimal precision (e.g., 84.5cm)
- Preferred for most global stores
Imperial System (Inches)
- Common in United States markets
- Fraction support (e.g., 34½", 36¼", 38¾")
- Automatic conversion to metric for calculations
Unit Conversion Process
SmartSize AI Fit Recommender automatically handles unit conversion:
- Input: Measurements entered in your preferred unit
- Normalization: All measurements converted to centimeters
- Calculation: Recommendations computed using metric values
- Display: Results shown in customer’s preferred unit
Conversion Examples:
Imperial Input → Metric Normalized
34" → 86.36cm
34½" → 87.63cm
34¾" → 88.27cm
35" → 88.90cm
Size Table Validation
Automatic Validation Checks
SmartSize AI Fit Recommender performs several validation checks on your size tables:
Range Validation
- Minimum values must be less than maximum values
- Measurements must be positive numbers
- Reasonable ranges for clothing measurements
Completeness Validation
- At least one size must be defined
- Required measurements based on garment category
- Size names must be unique within the table
Order Validation
- Sizes must be arranged from smallest to largest
- Manual confirmation required before saving
- Prevents recommendation errors
Manual Quality Checks
Review Your Size Table For:
- Realistic measurement ranges for your products
- Appropriate overlap between adjacent sizes
- Consistency with your brand’s existing size charts
- Coverage of your target customer demographic
Size Table Best Practices
Organization Strategy
Start Simple
- Begin with core sizes (S, M, L, XL)
- Add extended sizes (XS, XXL) based on demand
- Consider your actual sales distribution
Test and Iterate
- Monitor recommendation accuracy
- Gather customer feedback
- Adjust ranges based on return data
- Regular review and optimization
Data Sources
Use Reliable Data
- Actual garment measurements (preferred)
- Industry standard size charts
- Customer survey data
- Competitor analysis (reference only)
Validate Measurements
- Test with physical garments
- Account for fabric stretch
- Consider fit style (slim, regular, loose)
- Include seam allowances if needed
Integration with Other Features
Garment Categories
Size tables work with garment categories to optimize measurements:
- Categories determine which measurements are emphasized
- Automatic weighting based on garment type
- Simplified customer experience
Gender Selection
Gender settings affect size table interpretation:
- Different measurement priorities by gender
- Adapted recommendation algorithms
- Gender-appropriate size naming conventions
Product Associations
Size tables connect to products through:
- Direct product associations
- Collection-based linking
- Tag, vendor, or type filtering
- Automatic quiz selection based on product attributes
Troubleshooting Size Tables
Common Issues and Solutions
Issue: Inaccurate Recommendations
- Cause: Measurement ranges don’t match actual garments
- Solution: Review and update ranges based on physical measurements
Issue: Customer Confusion
- Cause: Size names don’t match customer expectations
- Solution: Use standard size conventions for your market
Issue: High Return Rates
- Cause: Size table doesn’t account for fit preferences
- Solution: Adjust ranges or add additional sizes
Issue: No Size Recommendations
- Cause: Customer measurements fall outside all ranges
- Solution: Extend size ranges or add additional sizes
Next Steps
After understanding size tables:
- Learn Size Management - Create and organize your size entries
- Understand Measurement Types - Configure chest, waist, and hip measurements
- Set Up Units - Choose metric or imperial measurements
- Configure Size Ordering - Arrange sizes properly and confirm order
Ready to create your first size table? Start with our size management guide for step-by-step instructions.