Snowflake-Powered AI

Snowflake-Powered AI

For Supply Chain and Retail

A half-day executive and technical briefing on transforming operational and customer data into intelligent business decisions.

Every delayed shipment, misplaced unit of inventory and lost customer carries a data trail. The challenge is rarely a lack of information; it is the organisation’s ability to connect that information, interpret it quickly and turn it into action.

This half-day course examines how Snowflake can provide the data and AI foundation for smarter supply-chain operations and more responsive retail experiences. Senior leaders will see how operational, sales, inventory, logistics and customer data can be brought together inside Snowflake and converted into forecasts, performance indicators and AI-assisted insights.

The course remains accessible to a management audience, while introducing enough technical substance to show how the concepts work in practice. Short Snowflake demonstrations will connect the strategic discussion to a working platform without turning the programme into a developer workshop. Snowflake currently supports declarative pipelines through Dynamic Tables, change processing through Streams and Tasks, governed business definitions through Semantic Views, and analysis of structured and unstructured information through Cortex AI.

Trainer Profile

The course is delivered by an instructor with more than 30 years of industry experience, combining senior-level business understanding with practical technology expertise. Rather than presenting academic theory or vendor marketing, the trainer will demonstrate how industry-demanded Snowflake, analytics and AI capabilities can be applied to genuine operational and commercial priorities.

Learning Outcomes

Participants will be able to:

• Explain Snowflake’s role as a unified data and AI platform
• Understand how supply-chain and retail data can be integrated and modelled
• Identify practical applications for forecasting, inventory optimisation and customer intelligence
• Interpret simple Snowflake queries, data pipelines and AI-assisted outputs
• Recognise the governance, cost and leadership considerations surrounding enterprise AI
• Prioritise suitable Snowflake use cases for further development

Prerequisites

• Working experience with Snowflake experience required
• General knowledge of business operations, retail or supply-chain management
• Familiarity with organisational reporting and performance measures
• Basic awareness of cloud data and AI concepts is beneficial

Training Outline

1. The Snowflake Executive Briefing
   1. Snowflake architecture at a glance
   2. Databases, schemas, tables and virtual warehouses
   3. Separation of storage and compute
   4. Structured, semi-structured and unstructured data
   5. From fragmented systems to a unified data foundation
2. Building the Connected Supply Chain
   1. Supply-chain data sources and integration
      1. Orders and sales
      2. Inventory and warehouse data
      3. Suppliers and procurement
      4. Transportation and fulfilment
   2. Creating a consolidated operational view
   3. SQL-based supply-chain analysis
   4. Demand, stock and fulfilment indicators
   5. Snowflake demonstration: operational data exploration
3. From Supply-Chain Data to Predictive Insight
   1. Demand forecasting concepts
   2. Inventory availability and replenishment signals
   3. Slow-moving and at-risk stock
   4. Logistics performance and disruption indicators
   5. Dynamic Tables for refreshed analytical datasets
   6. Streams and Tasks for change-driven processing
   7. Snowflake demonstration: inventory and demand intelligence
4. Creating the Intelligent Retail View
   1. Connecting customer, transaction and product data
   2. Customer 360 concepts
   3. Shopping behaviour and purchasing patterns
   4. Segmentation and personalisation
   5. Customer sentiment and feedback analysis
   6. Loyalty, retention and customer lifetime value
   7. Snowflake demonstration: retail customer insights
5. Applying Snowflake Cortex AI
   1. Snowflake Cortex AI capabilities
   2. AI Functions for text and unstructured data
   3. Sentiment, classification and summarisation
   4. Natural-language access to governed business data
   5. Semantic Views and consistent business definitions
   6. Snowflake demonstration: AI-assisted customer and operational analysis
6. Governing the Data and AI Opportunity
   1. Role-based access control
   2. Data privacy and sensitive customer information
   3. Secure data sharing
   4. AI accuracy and human oversight
   5. Compute consumption and cost awareness
   6. Selecting a credible first use case
   7. Executive ownership and measurable outcomes

Snowflake’s Secure Data Sharing enables controlled sharing of selected database objects without copying the underlying data, while its governance capabilities include role-based access controls and policies for protecting enterprise information.

Disclaimer

This outline is provided as an indicative framework for a half-day programme. The trainer reserves the right to amend, reorder, consolidate, expand or omit content and demonstrations where reasonably necessary to accommodate participant priorities, platform availability, time constraints, current Snowflake capabilities or instructional requirements, without prior notice.