Vanguard Ecomm: Cyber Monday AI Conversion Salon
About this Event
Spend Cyber Monday working on the operational side of e-commerce growth rather than listening to another presentation.
Vanguard Ecomm Lab brings a small group of founders and e-commerce operators together for a hands-on session focused on conversion friction, customer-service workflows, order-management logic, campaign data, and Human-in-the-Loop controls.
Participants will examine common points where shoppers abandon a journey, where service requests create unnecessary manual work, and where AI-assisted analysis may help teams organize information or support faster decisions.
A Lead AI Engineer and E-commerce Strategist will remain on-site throughout the workshop to manage QR check-in, guide the exercises, troubleshoot build steps, and help participants distinguish between tasks suitable for automation and decisions that should remain under human review.
During the Live Building Workbench, participants develop two guided prototypes: an AI-assisted customer-service and order-routing workflow, and a conversion-review workflow that organizes campaign or storefront signals for human evaluation.
All exercises use sample, anonymized, or appropriately sanitized information in a sandbox or test environment. Participants should not enter customer payment details, passwords, private API keys, authentication credentials, confidential customer records, or other sensitive data into shared exercises.
No live store changes, customer messages, refunds, payments, order fulfillment actions, or production deployments are required during the workshop.
The session includes a Winter Harvest Grazing Board, handcrafted espresso, cold brew, coffee, tea, and non-alcoholic refreshments.
This is a live educational workshop. It is not a software sales presentation and does not guarantee higher conversion rates, reduced acquisition costs, increased revenue, or other commercial outcomes.
Where is it happening?
Event Location & Nearby Stays:
USD 0.00 to USD 89.00



















