Fit finder
The quiz that uses your measurements and fit preference to recommend which size to buy.
See it
What it is
A fit finder is the short quiz that turns a shopper's measurements, usual size, body shape, and fit preference into a recommended size for one product. Unlike a static size chart, it can account for someone wanting a loose fit and for a jacket fitting differently from a pair of jeans. True Fit and Fit Analytics sell this as a drop-in widget for apparel retailers.
Reach for one when size uncertainty is costing sales or creating returns, especially in apparel with inconsistent cuts. Ask only for inputs that change the answer, explain why sensitive measurements are needed, and show the recommendation beside the size picker instead of sending the shopper into a separate flow.
Gotcha: the answer is a recommendation, not a measurement of truth. A model trained on one brand or cut can be confidently wrong on another, and shoppers often estimate their own measurements. Show confidence, keep the size chart available, and let returns data improve the model without hiding uncertainty behind a single magic size.
Ask AI for it
Build a fit finder beside the size picker on this product page. Ask for height, chest, waist, hip, usual size, and preferred fit in a short multi-step form, skipping measurements that do not apply to the product category. Use a weighted k-nearest neighbors algorithm against labeled fit records for this exact product or cut, with the garment size chart as the fallback when there is not enough data. Return one recommended size, a plain-language confidence label, and a brief reason such as 'M should fit close through the chest'. Let the shopper apply the size to the real radio-group picker in one click, keep the full size chart available, and do not store body measurements unless the shopper gives separate consent.