AI creates many new opportunities to improve pricing decisions in marketplaces.
Examples include fair price prediction, seller price recommendations, auction fee optimization, dynamic add-on pricing, and systematic price testing for listings or packages.
However, pricing remains highly sensitive: even strong models can be wrong for individual cases or create unintended customer reactions.
The session highlights the most promising AI pricing use cases and the success factors needed to make them work - including guardrails, human commercial judgment, and smart test design.

What does it take to move towards value-based pricing, and which capabilities do marketplaces need to make it work?

A look at online visibility and the vision of an AI-driven media company, explored through the experience of Agroinform.

How flexible payment solutions can help marketplaces evolve the buying and selling experience and unlock new opportunities for growth.

Practical lessons from building a caregiving marketplace in a fragmented and trust-sensitive industry — including marketplace liquidity, trust, supply acquisition and serving Europe's ageing population.

Looking at the recruitment value chain, job exploration is increasingly moving off-platform, driven by AI agents and external tools that guide users before they reach a job board.
If discovery increasingly moves away from job boards, visibility into early-stage user intent and behavior weakens. This matters because data based on these signals directly improves the quality of matching the candidate to jobs. Losing this would risk job boards shifting toward a more downstream role in the funnel.
Some portal’s monetization model relies heavily on its CV database and recruiter access to it, others on job recommendations and application numbers strongly supported by its matching algorithms. This monetizable value is at risk if third-party AI agents start building strong candidate intelligence by capturing high-value behavioral and intent data, and deeper, more nuanced candidate profiling.
On the positive side, many job boards have already introduced AI-driven features in the discovery phase. The opportunity now is evolving to own the discovery journey itself.

Exploring the shift from a fully monetised platform towards a partially monetised model while staying competitive and maintaining sustainable growth.

While much of the conversation around AI has focused on what happens on marketplaces, this session looks at how AI is changing the way marketplace traffic is discovered — and what that could mean for portals and their future acquisition strategies.