EnterpriseAlignedAI

📖 Episode summary + insights: https://enterprisealignedai.com/episodes/agentic-commerce-with-logitech-and-typesense/✉️  Subscribe for free to receive new episodes: https://enterprisealignedai.com/subscribe                                          This episode of Enterprise Aligned AI explores how agents are reshaping eCommerce.💡 KEY INSIGHTS Deepa Shekhar (Logitech) outlines Three Tracks of Agentic Commerce: shopping inside LLMs, brand-owned agents, and agents as autonomous buyers that rely on structured data and operational excellence over ads and storytellingJason Bosco (TypeSense) explains why search and retrieval are critical for agents, emphasizing fast, structured pre-processing of large data, unified product and business data, and approaches like hybrid search and LLM-assisted intent-to-query mapping.The Missing Product Catalog: no universal real-time product API for LLMs, fragmented product catalog and commerce protocols (ACP, UCP, MCP)Content Strategy Inverts: from brand storytelling to answering customer questions, structured for LLMs to read via llms.txtBrand Agents Need Shared Intelligence: isolated chatbots fragment the experience; one shared AI layer should power web, app, WhatsApp, and RCSAutonomous Agents that make decisions on real-time inventory and upto date operational status. Post-purchase gaps, legacy OMS/WMS constraints, emerging efforts like ONX• Guardrails for the Buy Click: financial controls, auditability, observability, and defenses against hallucinations and prompt injection ⏱ CHAPTERS00:00 Agents Disrupt E-Commerce and Advertising00:21 Introduction to Agentic AI and E-commerce Transformation02:34 Exploring the Three Tracks of Agentic Commerce05:49 Role of Search in Agentic Retrieval08:14 Integrating Product Catalogs, Data and Protocols10:55 Future of Real-Time Data and Search13:49 Shifts in Content Strategy for E-commerce17:09 Modern Retrieval Stack22:08 Building Intelligent Brand Agents26:32 Evolving Protocols for Payments, Inventory and Operations33:16 Track Three Personal Agent Buyers35:58 Agents Evaluate Vendors40:12 Security Guardrails and Governance 📺 WATCH ON YOUTUBE  https://youtu.be/vFNzd3rh3wY          🎧 ALSO ON APPLE PODCASTS  https://podcasts.apple.com/us/podcast/ep3-agentic-commerce-with-logitech-and-typesense/id1890781384?i=1000769162471    👤 GUESTS                                                                                                                         Deepa Shekhar, Director of E-commerce & Digital Marketing Technologies, Logitech: https://www.linkedin.com/in/deepa-shekhar-677779/Led the move to composable commerce architecture on Logitech.com (~$349M in direct-to-consumer revenue). Logitech.com was named PCMag Reader's Choice 2025 Best Manufacturer Online Store and won the "Growth Engine" award in Semrush's inaugural 2025 AI Visibility Awards for Consumer Electronics, measured across thousands of real prompts in ChatGPT and Google AI Mode. Jason Bosco, CEO & Co-founder, Typesense: https://www.linkedin.com/in/jasonbosco/Typesense is an open-source search engine running 10B+ queries a month on Typesense Cloud, with 25,000+ GitHub stars and 12M+ Docker pulls. Built as a single C++ binary, Typesense is the open-source alternative to Algolia and Pinecone, and is revenue-funded, not VC-backed. Before Typesense, Jason was VP of Engineering at Dollar Shave Club and VP of Technology at Verishop.  🔗 CONNECT     Website: https://enterprisealignedai.com LinkedIn: https://www.linkedin.com/in/apsinha/ X: https://x.com/aparnabsinha

📖 Episode summary + insights: https://enterprisealignedai.com/episo... ✉️ Subscribe for free to receive new episodes: https://enterprisealignedai.com/subsc... This episode focuses on Royal Bank of Canada’s (RBC) $1B AI transformation - how one of the world's largest financial institutions is moving beyond experimentation to Enterprise-wide AI deployment. Our guest is Vinh Tran, Vice President of Data and AI Platforms and RBC Fellow💡 KEY INSIGHTS • The $1B Investment: RBC committed ten figures to transform the entire organization with AI • Self-Serve Agents: RBC assist automates complex workflows while maintaining strict compliance • Build vs buy in regulated industries: Building is easier than ever and enables greater control • MCP Gateway + OpenTelemetry deliver security and observability for regulated agentic AI • Lumina, RBC's modern data platform, is the foundation making "AI for All" possible • Engineers become "builders" who orchestrate AI tools, not only write code🎧 PREFER VIDEO or APPLE PODCASTS?YouTube: https://www.youtube.com/watch?v=pVWtq0yCrEA Apple: https://podcasts.apple.com/us/podcast... ⏱ CHAPTERS 00:00 Introduction to Vinh Tran 03:34 The Scope of RBC's $1B AI Transformation 06:10 Transforming Customer Service 08:47 Measuring ROI of AI Across Business Units 14:23 Build vs. Buy: Why Build in Regulated Enterprises 18:37 Self-Service Agents at RBC 22:25 Setting Platform Standards: MCP and OpenTelemetry 26:00 Preparing Data for AI: Best Practices 30:33 Overcoming Data Readiness Challenges 33:16 RBC's Control Plane for Reliable Agentic AI 37:10 Use Cases for LLMs in Banking 40:37 RBC Assist: Productivity Chatbot or Superpower? 43:13 Workforce Transformation through 'AI for All' 45:58 Hiring the Next Generation of Builders 49:25 Advice for Enterprise AI Leaders 👤 GUEST Vinh Tran,   / vinhbtran   🔗 CONNECT Website: https://enterprisealignedai.com LinkedIn:   / apsinha   X: https://x.com/aparnabsinha #EnterpriseAI #AgenticAI #RBC #MCP #FinancialServices

In this podcast episode, host Aparna Sinha discusses the current landscape of enterprise AI with guests Victor Sulaiman from Wayfair and Aman Khan from Arize AI. They explore the integration of AI in retail, the importance of evaluating AI systems, and the emerging field of Agentic Commerce. Aman explains Arize’s approach to scalable, AI workflow evaluation and governance, emphasizing open-source tools. The conversation also delves into optimizing logistics and support with AI, the necessity of human oversight on autonomous agents, and techniques for measuring ROI of enterprise AI investments. The episode concludes with insights on the build vs. buy dilemma and strategies for scaling AI from pilot projects to full production.00:00 Introduction to Enterprise AI and Guests02:16 AI in Retail: Enhancing Customer and Associate Experience06:00 Evaluating AI: Arize's Unique Approach10:36 Open Source: Power of Community Engagement in AI13:41 Adapting to Generative AI: Evolving Use Cases15:31 Agentic Commerce: The Future of Retail19:08 Agentic Logistics: Can Reasoning Optimize Delivery?22:24 Measuring Reliability and Determinism in AI Systems25:52 Launching AI Agents: The Importance of Real-World Feedback28:52 LLM as a Jury with Human Oversight in AI Systems33:25 Navigating Autonomous Agents in Business37:43 Understanding ROI in AI Investments42:58 Build vs. Buy: Strategies for AI Deployment45:44 Scaling AI from Pilot to Production