How a streetwear brand reduced sizing returns by 10%
Using CartIn AI's interactive size guide to solve the biggest profit-killer in fashion ecommerce.
10%
Absolute Drop in Returns
19%
Lift in PDP Conversions
52%
Sizing Queries Automated
The Challenge
An emerging, Instagram-first Indian streetwear brand (operating in the same space as Bummer or Burger Baes) had a massive logistics problem. Their oversized t-shirts were popular, but their return rate hovered at a brutal 24%.
Nearly 80% of the return reasons were logged as "Size didn't fit." A static size chart image on the Product Details Page (PDP) was not enough to give young buyers the confidence they needed.
The Solution: CartIn AI Size Advisor
The brand replaced their basic live chat with CartIn AI and configured the Fashion Size Advisor workflow.
- Proactive Engagement: If a user spent more than 45 seconds on a PDP without adding to cart, CartIn AI popped open: "Need help finding the right oversized fit?"
- Conversational Sizing: Instead of asking for chest measurements, the AI asked: "What size do you usually wear in brands like H&M or Zara?" It then mapped that data to the brand's unique oversized dimensions.
- Automated Exchange Workflow: For the returns that did happen, CartIn AI fully automated the reverse-pickup scheduling via Shiprocket directly inside the chat.
The Results
Over a 45-day tracking period:
- Returns dropped from 24% to 14%: Customers who interacted with the AI size guide were drastically less likely to order the wrong fit.
- PDP Conversions jumped 19%: Removing sizing anxiety at the point of decision pushed hesitant buyers over the edge.
- Support workload slashed: 52% of all sizing and exchange-related queries were handled entirely by the bot, freeing up the small support team.
You pay for conversations.
Not for window shoppers.
Every competitor charges per visitor — including the ones who bounce in three seconds. A viral reel shouldn't result in a massive bill. With CartIn, you only pay when the AI actually engages a customer.














