AI in Action for Retail – Half-Day Workshop

AI in Action for Retail – Half-Day Workshop

Ledger BentonvilleBentonville, AR
Friday, May 8  •  8:30 AM - 11:30 AM
Overview

Transform How You Use AI for Retail Analysis, Reporting & Decision-Making. Walmart and major retailers are leaning into AI and streamlining

Walmart and major retailers are leaning into AI and streamlining everything from internal operations to the external shopper journey. To win your fair share, you need the right tools and know-how. AI in Action gives you the competitive edge and paves the way to better internal decisions and external communications without breaking the budget or requiring a data science team.


Who Should Attend?

No coding! This hands-on workshop is designed for:

• Brand Managers, Category Analysts, and Sales Leaders selling to Walmart and major retailers

• Analytics, finance, marketing, and operations teams working with data

• Anyone drowning in recurring reports and manual analysis

• Leaders who want decision-ready insights instead of spreadsheet drudgery


No data science background or coding experience required.


What You'll Learn:

Module 1: AI Foundations & Context

Understand the differences between predictive AI, generative AI, and agentic AI. Learn what Large Language Models (LLMs) are and how they work. Review real business use cases across industries. Practice "Prompting 201" with persona-based prompts and leave with AI prompt best practices.


Module 2: Generative AI in Action

Hands-on with ChatGPT, Gemini, Claude, and Microsoft Copilot. Practice AI-driven spreadsheet workflows and build automated templates. Explore vision capabilities for image and video generation.


Module 3: Agentic AI & Workflow Automation

Learn what AI agents are and how they execute multi-step tasks autonomously. Experience interactive demos and explore agentic browsers. Understand where agents fit in your workflows and how to evaluate ROI.


Key Outcomes

✓ Save 2-3 hours per week on recurring reports and analysis

✓ Turn messy data into decision-ready visualizations and insights

✓ Understand which AI capabilities are actually doing the work in each solution


Workshop Details

Duration: 3 hours (8:30 AM – 11:30 AM CST)

Location: The Ledger, Bentonville, AR

Format: Interactive, hands-on workshop with live demos and collaborative exercises

What to Bring: Laptop with Excel/Google Sheets and access to a modern web browser (for ChatGPT, Claude, etc.)

Instructor: Brad Pope – MS in Data Science, 20+ years in retail and CPG analytics leadership. Former VP at retail analytics firms serving Walmart, CVS, Target, and Fortune 500 brands.


What You'll Take Home

• Walk away with templates: prompts, personas, repeatable workflows, and automation examples

• Persona-based feedback templates for line review preparation


Interested in bringing this workshop to your team? We offer custom in-house training tailored to your organization's specific needs and data.


Contact: Brad Pope | popebradleyt@gmail.com | DecisionFrame.ai

Transform How You Use AI for Retail Analysis, Reporting & Decision-Making. Walmart and major retailers are leaning into AI and streamlining

Walmart and major retailers are leaning into AI and streamlining everything from internal operations to the external shopper journey. To win your fair share, you need the right tools and know-how. AI in Action gives you the competitive edge and paves the way to better internal decisions and external communications without breaking the budget or requiring a data science team.


Who Should Attend?

No coding! This hands-on workshop is designed for:

• Brand Managers, Category Analysts, and Sales Leaders selling to Walmart and major retailers

• Analytics, finance, marketing, and operations teams working with data

• Anyone drowning in recurring reports and manual analysis

• Leaders who want decision-ready insights instead of spreadsheet drudgery


No data science background or coding experience required.


What You'll Learn:

Module 1: AI Foundations & Context

Understand the differences between predictive AI, generative AI, and agentic AI. Learn what Large Language Models (LLMs) are and how they work. Review real business use cases across industries. Practice "Prompting 201" with persona-based prompts and leave with AI prompt best practices.


Module 2: Generative AI in Action

Hands-on with ChatGPT, Gemini, Claude, and Microsoft Copilot. Practice AI-driven spreadsheet workflows and build automated templates. Explore vision capabilities for image and video generation.


Module 3: Agentic AI & Workflow Automation

Learn what AI agents are and how they execute multi-step tasks autonomously. Experience interactive demos and explore agentic browsers. Understand where agents fit in your workflows and how to evaluate ROI.


Key Outcomes

✓ Save 2-3 hours per week on recurring reports and analysis

✓ Turn messy data into decision-ready visualizations and insights

✓ Understand which AI capabilities are actually doing the work in each solution


Workshop Details

Duration: 3 hours (8:30 AM – 11:30 AM CST)

Location: The Ledger, Bentonville, AR

Format: Interactive, hands-on workshop with live demos and collaborative exercises

What to Bring: Laptop with Excel/Google Sheets and access to a modern web browser (for ChatGPT, Claude, etc.)

Instructor: Brad Pope – MS in Data Science, 20+ years in retail and CPG analytics leadership. Former VP at retail analytics firms serving Walmart, CVS, Target, and Fortune 500 brands.


What You'll Take Home

• Walk away with templates: prompts, personas, repeatable workflows, and automation examples

• Persona-based feedback templates for line review preparation


Interested in bringing this workshop to your team? We offer custom in-house training tailored to your organization's specific needs and data.


Contact: Brad Pope | popebradleyt@gmail.com | DecisionFrame.ai

Good to know

Highlights

  • 3 hours
  • In person

Refund Policy

Refunds up to 7 days before event

Location

Ledger Bentonville

240 South Main Street

Bentonville, AR 72712

How do you want to get there?

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