Resale
Operations
Insights, benchmarks and playbooks for resale operators.
Three things are happening in resale right now that most haven't fully acted on. Each one is a decision hiding as an observation.
1. AI: the industry is still asking the wrong question
Most resale operators are still debating whether to adopt AI. A smaller group is running pilots. Almost nobody has worked out where the real leverage sits.
The conversation in 2026 centres on efficiency - faster listing, reduced friction, lower processing costs per item. Those gains are real. But they're the surface layer.
The operators who moved earliest on AI aren't just processing faster. They're building something their competitors don't have yet: a proprietary data asset that compounds with every item processed. Every listing generated, every pricing decision made, every attribute extracted is a data point. Accumulated at scale, that becomes an intelligence advantage - in sourcing, in pricing, in understanding which supply is worth acquiring and which isn't.
Most operators are evaluating AI as a cost tool. The ones pulling away are building it as the foundation for knowing things their competitors don't.
2. Data: the acquisition lever nobody is using
That intelligence gap shows up most directly in supply. Seller acquisition in 2026 is harder than it looks. Supply is abundant - the post-pandemic glut hasn't cleared - but supply worth processing at a margin that works is increasingly competitive. Platforms are adding fees, not reducing them. The power balance has shifted toward platforms and away from sellers.
In that environment, the operators winning the supply battle aren't doing it on price. They're doing it on intelligence. Knowing which categories are undersupplied. Which price points convert. Which sellers are at risk of churning before they do. That intelligence, offered back to sellers and consignors as genuine guidance, is the stickiest retention tool available - and most operators are sitting on the data to build it without realising what they have.
The gap isn't technology. It's the failure to connect data already generated to the supply relationships that determine profitability.
3. Consolidation: the operational scale question is being answered by M&A
eBay's acquisition of Depop wasn't a community play. It was an operations play. Depop brings audience and cultural cachet that takes years to build. eBay brings the logistics infrastructure, payment rails, and operational depth that Depop couldn't build fast enough alone. Neither had both. Now one entity does.
That's the template for what follows. Larger players will continue acquiring the community and brand equity they can't build organically. Smaller players will gain the operational backbone they can't afford independently. The platforms in the middle - neither distinctive enough to command a premium nor operationally mature enough to acquire - are the most exposed. In a consolidating market, the middle isn't a position. It's a waiting room.
Our Resale Operations Report interviewed practitioners across Europe and North America. The pattern running through every conversation is showing up in the 2026 numbers: the market is moving faster than most operators' decision-making cycles.
What You Could Do This Week
☐ Map where AI sits in your operation today - not as aspiration but as honest assessment. Is it in production anywhere? If not, what's the actual barrier? (Cost, resource, or uncertainty about where to start - each has a different answer)
☐ Identify one data asset you're already generating - sell-through by category, pricing outcomes, listing completion rates - that you're not yet using to inform sourcing or seller retention decisions
☐ Decide which side of the consolidation dynamic you're on: building something distinctive enough to matter, or assuming the middle ground holds. It doesn't.
Seeing it coming isn't enough. The advantage goes to whoever moved first.