Program Overview

From Traditional Category Review to AI-Powered Category Intelligence
Category Management is no longer about historical sales reports and periodic reviews.
Winning retailers and FMCG companies now apply AI, predictive analytics, shopper intelligence, and scenario modeling to drive category growth, margin optimization, and competitive advantage.
This 2-day executive program transforms Category Managers into AI-enabled business leaders.
Delivered jointly by PureHigh Commercial Excellence Institute & PureHigh NG Square – AI, Data & Digital Consulting Lab.

Target Participants

Designed for:
• Category Managers & Senior Category Managers
• Buying Directors & Merchandise Directors
• Modern Trade Leaders
• Trade Marketing Managers
• Commercial & Sales Directors
• Retail Operations Leaders
• FMCG Brand & Channel Managers
• Data & Insights Managers

Suitable for:
• Retailers (Hypermarket, Supermarket, CVS, Cash & Carry)
• FMCG manufacturers
• Distributors & wholesalers
• Omni-channel businesses

What You’ll Get

This is not a technical AI course.
It is an Applied AI & Data Science System for Category Management.

A. Instructional AI Design for Category Management

Participants will learn how to design AI-supported category systems:
• AI-driven category role & strategy definition
• Predictive assortment planning
• Demand forecasting & seasonality modeling
• AI-supported space & shelf optimization
• Scenario modeling for margin & mix optimization
• Supplier negotiation data preparation

You will learn how to:
• Convert category problems into structured AI-ready frameworks
• Work effectively with data & IT teams
• Build category dashboards for strategic decisions
• Use AI copilots for daily category review

B. Data Science for Category Performance

Data science translated into business language.

Participants will master:
• Basket analysis & cross-category affinity
• Shopper segmentation models
• Elasticity & price sensitivity modeling
• Promotion effectiveness analytics
• GMROI & contribution margin modeling
• Long-tail SKU performance evaluation

Focus:
How to interpret analytics outputs and convert them into actionable category decisions.

C. AI-Powered Category Simulations

Hands-on simulations using realistic category scenarios:
1. Assortment Optimization Simulation
2. Pricing & Promotion Scenario Modeling
3. Shelf Space Allocation Game
4. Supplier Negotiation with Data Simulation
5. Seasonal Forecasting & Inventory Risk Exercise

Participants will use structured AI templates and financial modeling logic.

Program Structure (2 Days)

Learning Outcomes

After 2 days, participants will be able to:
• Design AI-supported category strategies
• Optimize assortment based on predictive analytics
• Improve margin and GMROI using data models
• Apply basket & shopper insights for cross-selling
• Run promotion ROI scenario modeling
• Prepare supplier negotiations using data evidence
• Transform category management into a structured performance system

Lead Experts

Dr. Nguyễn Vũ Thuận
Founder & Managing Partner – PureHigh
Expert in Modern Trade, Commercial Strategy, Category Leadership & Negotiation
Dr. Nguyễn Thúy Ngọc
Co-Founder & Managing Partner – NG Square
Expert in AI, Data Science & Digital Strategy
Mr. Trần Minh An
Technology & AI Applications Lead
Expert in Enterprise AI Tools & Digital Transformation

Together integrating:

Category Strategy × Retail Execution × AI Modeling × Data Science

Individual Registration
Investment: 9,900,000 VND per participant