AI for Retail & E-commerce

Retail and e-commerce teams learn to use AI for merchandising, content, and customer experience. The course covers product content, personalization, demand forecasting, support, and pricing insights. Participants finish able to drive sales and efficiency with AI across the funnel.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Introduction to AI in Retail & E-commerce — Overview of how AI models drive value across merchandising, content creation, and customer experience, aligning with the modern e-commerce funnel.
AI-Powered Merchandising: Demand Forecasting & Pricing — Using predictive AI tools to analyze historical sales data, forecast inventory demand, and dynamically adjust pricing strategies based on market trends.
Scenario: Balancing Inventory and Pricing Decisions — An interactive decision-making exercise where learners must use AI-generated demand and pricing insights to resolve a sudden stock surplus while maintaining profit margins.
Automating Product Content & SEO at Scale — Hands-on practice using generative AI to write, optimize, and localize high-converting product descriptions, meta tags, and bullet points directly in a catalog management tool.
AI Personalization & Recommendation Engines — Configuring AI recommendation algorithms to deliver personalized product suggestions, upsells, and cross-sells based on real-time user behavior.
Scenario: Designing a Personalized Customer Journey — An exercise where learners configure and test an AI personalization workflow to recover an abandoned shopping cart and increase the average order value.
Elevating Customer Experience with AI Support — Setting up, training, and optimizing AI-driven customer service agents to resolve common inquiries, track orders, and handle returns seamlessly.
Scenario: De-escalating Customer Support Issues with Hybrid AI — A decision-based simulation managing the handoff between an AI support bot and human agents during a complex shipping delay crisis.
Measuring AI Performance & ROI — How to track, analyze, and report on key performance indicators (KPIs) such as conversion rate lift, average order value (AOV), and customer satisfaction (CSAT) driven by AI initiatives.
Course Capstone: Building an End-to-End AI Retail Strategy — A comprehensive hands-on lab integrating merchandising, content, and customer experience tools to launch a simulated product line campaign from scratch.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Digital Merchandising, E-commerce Operations Management, AI Tool Usage, Demand Forecasting, Pricing Strategy, Omnichannel Customer Experience, Customer Experience (CX) Management.

Digital Merchandising
E-commerce Operations Management
AI Tool Usage
Demand Forecasting
Pricing Strategy
Omnichannel Customer Experience
Customer Experience (CX) Management

Who it is for

Retail, merchandising, e-comm. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Retail & E-commerce track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-RTL.