Cover Image for Reimagining Commerce for the Agentic Era: Unveiling the Webscale Agentic Commerce OS
Cover Image for Reimagining Commerce for the Agentic Era: Unveiling the Webscale Agentic Commerce OS
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Reimagining Commerce for the Agentic Era: Unveiling the Webscale Agentic Commerce OS

Hosted by Arvind Rapaka
Google Meet
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About Event

Join us as we embark on a transformative journey to the future of commerce with Arvind Rapaka!

Join us as we take a bold step into the future of commerce with Arvind Rapaka.

Commerce is undergoing a profound shift from automation to intelligence, from workflows that execute to systems that think, adapt, and collaborate. The next era isn’t about adding “AI features.” It’s about embracing a new operating system for commerce powered by intelligent agents, LLMs, and dynamic data graphs that enable real-time decisions at scale.

Arvind will break down how enterprise brands can move beyond fragmented AI experiments and unlock fully agentic, multi-modal, multi-tenant commerce intelligence that transforms every customer journey.

What we’ll explore:

• Agent Infrastructure – Multi-agent design patterns, coordination protocols, event-driven cognition, and real-time action loops.

• Agent Orchestration – Policy routing, planning, tool invocation, and autonomous decisioning across the commerce lifecycle.

• LLM Fine-Tuning for Commerce – Domain-adapted reasoning, product-graph alignment, structured data grounding, and KPI-driven RLHF.

• Agent Memory Architectures – Short-term, long-term, and semantic memory powering deeply personalized experiences.

• Guardrails & Safety – Trust, compliance, hallucination control, and deterministic evaluation at enterprise scale.

• Agentic Personalization in Action

  • AI Shopping Companion that understands intent, context, and multi-step tasks

  • Agent-Led Segmentation that continuously learns from behavioral + transactional signals

Get ready to see what happens when commerce becomes adaptive, conversational, and autonomously optimized.

Hosted By
19 Went