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Help Every Shopper Find Their Perfect Fit Before They Buy

OpenAgent answers sizing questions using your brand's own size charts, fit notes, and model measurements — cutting size-related returns and boosting conversion.

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Sizing is the number-one reason shoppers hesitate before buying apparel — and the number-one reason they return it afterward. OpenAgent answers sizing questions with the specificity your customers need: brand-specific size charts, garment fit notes (relaxed vs. slim), fabric stretch information, and even guidance based on how previous customers describe the fit. The result is more confident purchases and far fewer "it didn't fit" returns.

The problem

Generic size charts don't answer the real question: will this specific item fit me? Shoppers are left guessing, either abandoning their cart or buying two sizes and returning one. Your support team fields the same sizing questions hundreds of times a week — questions that your product data could answer automatically if surfaced at the right moment.

  • Size uncertainty is the leading cause of cart abandonment for apparel brands
  • Size-related returns account for 30-40% of all apparel return volume
  • Agents answer the same "what size should I order?" questions repeatedly every day
  • Generic size charts don't account for brand-specific fit variation across different garment styles

How OpenAgent handles it

Step 1

Fit Question Recognition

OpenAgent identifies sizing intent the moment a customer asks — whether they're on a product page, in checkout, or following up after a purchase.

Step 2

Brand Size Chart Lookup

OpenAgent retrieves your brand's size chart for the specific product category being asked about — tops, bottoms, outerwear, footwear — and presents the relevant measurements.

Step 3

Fit Notes and Garment Details

Beyond raw measurements, OpenAgent surfaces your product-level fit notes: whether a style runs small, whether a fabric has stretch, and how the model's sizing compares to the garment shown.

Step 4

Customer Measurement Matching

If the customer shares their measurements or usual size in another brand, OpenAgent maps these to your size chart and recommends the best option for that specific item.

Step 5

Return Policy Reassurance

For customers still on the fence, OpenAgent mentions your exchange or return policy to remove remaining purchase anxiety and drive the conversion.

See it in action

I'm 5'7" and usually wear a medium in Zara tops but I've heard your sizing runs small. Should I go medium or large in the Linen Relaxed Shirt?
Great question! Our Linen Relaxed Shirt does run about half a size small compared to standard sizing, so at 5'7" and a typical Zara medium, I'd recommend going with a Large for a comfortable relaxed fit. The Large measures 20" across the chest and has a 29" body length, which should hit right at the hip on your frame. The linen fabric has minimal stretch, so the extra room is worth it. We also have free exchanges if the fit isn't perfect — no risk at all. Want me to help you add the Large to your cart?

Why it matters

Fewer Size-Related Returns

Accurate, garment-specific sizing guidance means customers order the right size the first time, reducing costly return and exchange volume.

Higher Conversion on Apparel PDPs

Shoppers who get a confident sizing answer are significantly more likely to complete the purchase than those left to guess.

Reduced Agent Sizing Queue

Automating the most repetitive sizing questions frees your support team to handle fit issues that genuinely require human judgment.

Brand-Specific Accuracy

OpenAgent is trained on your actual size charts and fit notes, not generic tables — so answers are accurate for your specific garments, not apparel in general.

Cross-Sell Opportunities

Sizing conversations are natural moments to recommend complementary items or mention current promotions, turning a support interaction into a sales touchpoint.

30%
Average reduction in size-related returns
22%
Lift in conversion when sizing question is answered before checkout
91%
Customer satisfaction rate on OpenAgent sizing guidance

Frequently Asked Questions

Yes. OpenAgent is trained on category-specific size charts and fit notes for every product type in your catalog. Footwear sizing, for example, includes width options and brand-to-brand conversion guidance.

OpenAgent handles both unit systems and converts automatically. It also recognizes when customers describe their size using European, UK, or Asian sizing conventions and maps them to your chart.

Yes. If you surface customer review data to OpenAgent, it can reference common fit feedback — for example, "most customers say this style runs true to size" — to add social proof to its recommendations.

OpenAgent guides them through the trade-off based on the garment style. For a fitted blazer, it might recommend sizing up; for a relaxed tee, it might suggest the smaller size. Fit preference questions help narrow it down.

Yes. OpenAgent syncs with your Shopify product catalog and knowledge base. When you update a product's size chart or add new fit notes, the changes are reflected in OpenAgent's responses automatically.

Yes. OpenAgent supports children's apparel sizing including age-to-measurement mapping, height/weight range guidance, and notes on whether a style is designed to be worn fitted or with room to grow.

Related use cases

Returns & Exchanges

OpenAgent walks customers through your return policy, initiates return requests, and generates labels — all without a human in the loop.

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Order Tracking

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Let OpenAgent handle it for you

Join the ecommerce teams resolving more tickets, answering 24/7, and turning support into a revenue channel with OpenAgent.

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