How Marketplaces Are Building Their Own Customer Service AI

Episode 60 of The Platform Economy examines the quiet internalization of customer service at major two-sided marketplaces. Lucas and Luna trace how companies like Airbnb and Uber have moved from outsourced call centers to proprietary AI-powered support stacks. They focus on a specific number: the 40 percent reduction in resolution time that some platforms report after deploying internal large language models trained on their own ticket data. The hosts discuss why generic chatbot solutions fail in marketplace contexts — where disputes involve two distinct parties with conflicting incentives — and how custom models that understand marketplace dynamics can triage reliably. They also touch on the tension between automation and trust, the challenge of handling edge cases like safety incidents, and the strategic moat that proprietary support data creates. No hot takes, no breathless tech boosterism — just a grounded look at a quiet but consequential shift in how platforms operate. #Marketplace #PlatformEconomy #CustomerService #AI #LargeLanguageModels #Airbnb #Uber #Automation #TrustAndSafety #BusinessTechnology #TwoSidedMarketplace #Internalization #SupportStack #DisputeResolution #FexingoBusiness #BusinessPodcast #Podcast #TechStrategy Keep every episode free: buymeacoffee.com/fexingo