Resale is often discussed as one of the fastest-growing areas of retail. But its growth alone is not what makes it so interesting. The more important point is who is driving that growth.
Gen Z is pushing resale into the mainstream at the same time as it is changing how products are discovered, compared, valued and bought across e-commerce more broadly. The consumers who are most comfortable moving between TikTok, Pinterest, marketplaces and AI assistants are also increasingly treating second-hand as an equivalent alternative to buying new.
That puts resale at the intersection of several changes happening across commerce at once. And it makes it a particularly useful place to understand what retailers will have to adapt to next.
E-commerce is losing control of the discovery journey
For a long time, retailers could think of the shopping journey as something that largely happened within their own environment. A customer arrived, searched, compared products and eventually checked out.
But customer journeys have become more diversified over the years.
Gen Z is discovering products everywhere: TikTok, Instagram, Pinterest, YouTube, AI tools and in their group chat. 77% of Gen Z already use TikTok to find new products and 92% use AI to compare prices before buying. So, by the time they reach a retailer’s website, they aren’t arriving to make a decision, but to confirm the one they’ve already made.
That changes what it means to compete for discovery. Being good at converting traffic once it arrives is no longer enough. Products increasingly need to be visible and understandable across the environments in which consumers are actually making up their minds.
Which leads us to a second problem: even when Gen Z does come looking, most retail sites aren’t built for how they search.
Search is moving beyond the search bar
The search bar retailers have spent the last 20 years optimising has become useless to Gen Z.
Keyword search asks the customer to translate their intent into the language of a catalogue: brand, category, colour, size. But search now has turned visual, conversational and recommendation-led.
Resale makes that transition particularly visible because exact keywords have always been less reliable there. Products are photographed differently and described differently by individual sellers, so understanding the underlying item and the shopper’s intent matters much more than matching two strings of text.
The lesson for e-commerce more broadly is not that keywords disappear entirely. It is that the search bar becomes one interface among many.
AI agents make product data part of the storefront
As AI becomes more involved in product research and comparison, retailers are no longer only optimising for people browsing their own website. Products increasingly need to be understood by systems that may decide what even makes it into a shopper’s consideration set.
That shifts the role of product data. Structured attributes, consistent descriptions and rich imagery are no longer just useful for on-site search; they become part of how products are surfaced outside the retailer’s own environment. And many companies are not ready for that yet: 75% cite data as a main barrier to agentic commerce, while only 44% say their data is adequate for AI.
The product feed is becoming a new part of the storefront.
Resale has already been operating under these conditions
None of these changes belong exclusively to second-hand.
Fragmented discovery is spreading across retail. Visual and conversational interfaces are becoming more important. AI is increasingly involved in comparison.
What makes resale interesting is that these forces are already concentrated there.
Resale has had to deal with shoppers moving between platforms, fluid consideration sets, products competing across ownership cycles and discovery that cannot depend entirely on clean keywords or retailer-controlled journeys.
The category has been forced to operate with messier data, less predictable inventory and a more fragmented customer journey much earlier. As those same conditions start appearing across e-commerce more broadly, the solutions developed for resale become increasingly relevant outside of it too.
What retailers can learn from resale
The takeaway is not simply to launch a resale programme. It is to look at the capabilities resale has already been forced to build.
Retailers need to make products understandable beyond their own website, treat images as product information rather than decoration, structure data for both humans and machines, and design discovery around intent rather than relying solely on predefined categories and keywords.
At faircado, we see these shifts particularly clearly because we are already building in that environment. We work with more than 150 million second-hand items across 60+ partners, while using image matching, personalised discovery and agentic search infrastructure to make fragmented inventory easier to navigate.
About the author
Evoléna de Wilde d’Estmael is Co-founder & CEO of Faircado, a resale discovery platform that aggregates and normalises millions of second-hand listings across European marketplaces. She writes about resale, Gen Z consumer behaviour and the future of ecommerce. This piece expands on an idea Evi recently shared on LinkedIn.
