On this week's episode of the podcast, I am joined by Michael Komasinski, the CEO of Criteo, to explore the rapidly evolving landscape of agentic commerce and the critical role of recommendation systems in the AI era. We delve into how Criteo is positioning itself as a commerce intelligence layer for AI assistants and the technical distinctions between large language models and purpose-built recommendation engines. Among other things, we discuss:

Criteo's recently announced advertising partnership with OpenAI
Whether agentic commerce will transition from assisted shopping to fully autonomous purchase decisions without human oversight
How recommendation systems based on purchase data outperform large language models in providing accurate product discovery
If retailers will eventually trust AI agents to manage complex fulfillment and brand trust in conversational environments
Why the integration of semantic language models and high-volume reward algorithms defines the future of digital commerce
Criteo GO, Criteo's automated advertising platform
How the partnership between specialized advertising technology and generative AI platforms will reshape the global discovery layer

Thanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:

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Xsolla⁠. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.
⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming back

Interested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.

Season 7, Episode 9: RecSys and internet commerce (with Michael Komasinski)

Mobile Dev Memo Podcast

Season 7, Episode 9: RecSys and internet commerce (with Michael Komasinski)