GenAI for Retail Managers: Optimizing Inventory with AI is a practical, intermediate course that teaches retail professionals how to use Generative AI to improve inventory management, demand forecasting, replenishment planning, and markdown optimization. Through hands-on demonstrations with ChatGPT and Claude, you'll learn to analyze retail data, generate SKU-level demand forecasts, automate reorder recommendations, optimize omnichannel inventory, and measure inventory performance using GMROI and other key retail metrics. No coding is required—just a basic understanding of retail operations.

Generative AI for Retail Inventory Management

Generative AI for Retail Inventory Management


Instructors: STARWEAVER
Access provided by University of Colorado
Recommended experience
What you'll learn
Identify core GenAI capabilities for retail inventory management; build ROI-based cases linked to gross margin and inventory turn.
Apply GenAI demand forecasting with POS and external signals for store- and SKU-level predictions with explainable drivers.
Design automated replenishment, omnichannel allocation strategies, and AI store-copilot queries using ChatGPT and Claude.
Evaluate GenAI integration for POS, ERP, WMS, and e-commerce platforms, applying data governance for compliant AI adoption.
Skills you'll gain
- Forecasting
- Merchandising
- Inventory and Warehousing
- Customer Demand Planning
- Inventory Control
- Performance Measurement
- Operational Performance Management
- Retail Store Operations
- Engineering
- Promotional Strategies
- Inventory Management
- Enterprise Architecture
- Demand Planning
- Product Promotion
- Return On Investment
- Key Performance Indicators (KPIs)
Tools you'll learn
Details to know

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August 2026
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There are 2 modules in this course
Instructors

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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
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