Generative AI for Retail Analysts

About this course

Generative AI for Retail Analysts

Generative AI for Retail Analysts is a practical course designed for retail analysts, retail data analysts, merchandising analysts, inventory analysts, retail planners, pricing analysts, customer insights professionals, category analysts, store-performance analysts, e-commerce analysts and retail professionals who want to apply modern artificial intelligence across retail analytics and decision-making.

The course explores how Generative AI, ChatGPT, Claude, Google Gemini, Microsoft Copilot, large language models (LLMs) and prompt engineering can support retail analytics, customer segmentation, consumer behavior analysis, merchandising, basket analysis, inventory planning, demand forecasting, pricing, promotion analysis, customer sentiment, competitor analysis, retail dashboards, customer retention and retail reporting.

Rather than treating Generative AI as simply a content-generation tool, this course focuses on real-world retail analysis workflows.

Learners explore how AI can help analyze customer behavior, identify product relationships, interpret sales trends, support inventory planning, explain demand forecasts, evaluate pricing and promotions, summarize customer reviews, create executive reports and automate repetitive retail-analysis activities.

A major feature of the course is the dedicated 1000+ AI prompt library for Retail Analysts, covering inventory forecasting, replenishment, safety stock, reorder points, SKU rationalization, supplier performance, sales performance, store profitability, gross margin, pricing, markdowns, promotions, basket analysis, merchandising, customer segmentation, churn, Customer Lifetime Value, sentiment analysis, loyalty programs, retail dashboards and market intelligence.

The objective is not simply to learn how to use one AI chatbot.

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