Retail & Consumer Goods Data Virtual Masterclass

Virtual | April 22, 2026 | 6.30 PM IST

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Transform Your Retail and Consumer Goods Data Strategy

Unlock the Full Potential of Your Data

Join us for an in-depth Snowflake Masterclass designed exclusively for leaders and decision-makers in retail and consumer goods organizations. This virtual event will deliver a crash course on the newest Snowflake platform features and showcase how leading retailers and CPG brands are turning their data into a competitive advantage. Plan to join for the entire event, or drop in for the sections most relevant to your strategic priorities.

Why Attend

Attendees will leave with the practical knowledge to:

Simplify data ingestion with Openflow and accelerate development with Postgres compatibility and Cortex Code.
Bridge the context gap using Semantic Models to make your data “AI-understandable” and ready for natural language querying with Snowflake Intelligence.
Harmonise fragmented data from across your retail and CPG ecosystem — POS, supply chain, promotions, loyalty — into a single trusted view
See real-world demos including post-event promotion analysis for CPG and an AI-agent-powered commerce experience for retail.

AGENDA

Time DETAILS

6:30 PM - 6:35 PM

Welcome & Introduction

Welcome, housekeeping, and speaker introductions

6:35 PM - 7:05 PM

Snowflake Platform Overview for Retail and Consumer Goods

Platform Features & Roadmap — What’s new and what’s next for retail and CPG on Snowflake
Postgres — Use familiar Postgres tools and drivers to connect directly to Snowflake
Open Flow — Simplified data ingestion and movement into Snowflake using open standards
Cortex Code / SnowWork — AI-assisted development and workflow automation
Snowflake Intelligence — Ask questions of your data in plain English

7:05 PM - 7:40 PM

Data Readiness for Enterprise AI

Semantic Modelling — Creating a shared, governed definition of your data so AI and analysts get consistent answers
Data Harmonisation at Scale — Bringing together data from different sources (POS, supply chain, promotions, loyalty) into one trusted view ready for AI

7:40 PM - 8:00 PM

Demo | Post-Event Analysis showing how to measure promotion effectiveness and sales lift using Snowflake’s analytics and AI

8:00 PM - 8:20 PM

Demo | Agentic Commerce AI-agent-powered shopping experience – product discovery, personalised recommendations, and the architecture behind it

8:20 PM

QnA and Wrap up