Reducing Fashion Waste at Scale by Making Secondhand Shopping Smarter
Secondhand shopping is good for the planet—but frustrating for consumers and retailers alike. Shoppers struggle to find what they’re looking for, and stores sit on unpredictable, slow-moving inventory.
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At Preloved Guru, we bridge the gap between what shoppers want and what secondhand retailers have.

The Problem

Retailers receive excess and secondhand inventory in inconsistent categories, sizes and styles. One day a retailer can receive multiple extra small pants and the next day large quantities of extra large dresses. This makes it hard to meet demand, slows turnover (it could take a year for a product to sell), and can lead to waste when items go unsold and end up in landfills.

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Our Solution

We use AI to understand each item in a store’s inventory—its size, style, color, and more—and match it with real-time consumer demand.Consumers fill out a quick style quiz and create a wishlist. When the right item becomes available at a partner store, we send an alert via email or text.
Retailers move inventory faster, and shoppers find what they want—without the guesswork.

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