PM Fashion Tech
(India Edition)
Fashion e-commerce runs 30–40% return rates in India because COD shoppers treat delivery as a fitting room — buyers can't try before they buy, so size-and-fit mismatches, not product quality, drive most returns. PMs fight this with visual search, AI-powered fit recommendations, and inventory strategies tuned to seasonality, but the physical-to-digital trying gap stays structural rather than solvable.
By Naman Goyal · Product manager · Builder of PM Streak · Updated July 3, 2026
5 dynamics and 5 metrics for fashion tech PMs.
Build Fashion PM Skills — Free →5 Dynamics
Size and fit is the biggest return driver — try-before-buy is the holy grail
Visual search beats keyword — users upload pictures, not queries
Returns kill margin — RTO on fashion runs 30–40%
Seasonality drives inventory risk — get it wrong, margins evaporate
Influencer-led discovery compresses the funnel
5 Metrics
Return rate by category and price band
Fit-related return rate
Visual search adoption
Repeat rate at 90 days
Wishlist-to-purchase conversion
FAQ
Why are fashion return rates so high?
Because buyers can't try online. COD users treat orders as try-at-home; 30–40% of fashion orders return in India. AI-powered fit recommendations have shaved a few points, but the gap between physical and digital trying is structural. Category-winning products absorb returns as a cost of doing business.
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