Nixalkumar
Patel
Sr. Product Manager at LG Electronics
"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
Wed May 13 - 12:50 PM EDT/New York (See in local time)
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05/13/2026 12:50 PM
05/13/2026 01:10 PM
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"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
#WTGC2026
"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
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"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
"From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce"
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Session: From Product Page to Purchase: A Governed Operating Model for AI-Assisted Conversational Commerce
Digital commerce organizations often introduce chat as a customer engagement channel, but many struggle to operationalize it as a scalable, governed conversion system. Traffic remains low, conversations are generic, product intent is lost across handoffs, and human experts become a constrained resource. This session presents a practical operating model for transforming product-page browsing into intent-qualified, context-preserving conversations that can progress toward resolution and purchase without restarting the journey.The session outlines a reusable reference model built on four connected capabilities: (1) contextual intent capture on product pages, (2) context-preserving routing into structured conversation flows, (3) policy- and confidence-based escalation to human product experts when required, and (4) agent copilot augmentation to improve response quality, speed, and consistency. It also examines how to enable transaction-adjacent commerce actions inside chat — including guided deep linking, cart-building support, and governed offer/coupon workflows — without disrupting the purchase journey or weakening operational control.
Finally, the session addresses measurement and governance: defining high-intent conversations, proving incrementality through phased cohorts, setting escalation thresholds, and avoiding common pitfalls such as weak attribution models, low-signal chat traffic, and inconsistent agent handling. Attendees will leave with a reusable framework for operationalizing conversational commerce as an enterprise sales operating model rather than a standalone chatbot deployment.
Key Takeaways
- How to design a closed-loop product-page-to-conversation operating model that captures product intent on PDPs and routes users into context-preserving conversational journeys.
- How to operationalize AI + human collaboration through confidence thresholds, policy controls, and structured escalation to expert agents.
- How to enable conversation-to-checkout safely through governed transaction-support actions such as guided deep links, cart-building support, and offer/coupon workflows.
- How to measure impact credibly by defining high-intent conversations, using phased rollouts and cohort-based evaluation, and avoiding weak attribution models.
- How to apply this framework as a scalable enterprise conversational commerce model, rather than a standalone chatbot deployment.
Bio
Nixal Patel is a senior product and digital transformation leader focused on AI-enabled customer experience, omnichannel commerce, and enterprise retail execution. At LG Electronics, he leads complex digital initiatives across eCommerce, fulfillment, and customer journey orchestration, with a focus on turning AI into measurable business outcomes through responsible adoption, governance, and operational readiness. His work centers on building scalable operating models that connect product discovery, AI-assisted decision support, human expert escalation, and transaction enablement across enterprise commerce environments. Beyond his corporate role, Nixal contributes to the field through conference speaking, industry judging, scholarly peer review, published thought leadership and research, and select advisory roles across academic and industry programs. His professional focus is on how enterprises operationalize trustworthy AI across customer journeys, commerce decisioning, and transaction execution at scale.