Business fields · E-Commerce
AI training for E-Commerce Teams
In e-commerce, every product page, search query and customer enquiry counts. Generative AI opens up new possibilities for online retailers and brands: AI assistants create and optimise product descriptions, translate catalogues, structure product attributes, analyse customer reviews and support marketplace listings. Automation and AI agents maintain product data, monitor prices and stock, answer routine questions and prepare campaigns for sales events. Shop analytics also become more accessible, because questions about conversion, baskets and returns can be asked in natural language. Success requires clean product data, clear quality rules for generated copy and compliance with the many information obligations in online retail. Then AI becomes a lever for visibility, conversion and efficient operations.
Who is this course for?
- E-commerce managers and shop owners
- Marketplace and category managers
- Product data and PIM managers
- Digital marketing and SEO specialists
- Founders and owners of online shops
Typical challenges we address
- Keeping thousands of product records complete, consistent and multilingual
- Increasing visibility in search engines and on marketplaces
- Analysing and handling returns, reviews and customer enquiries efficiently
- Delivering sales events and range changes with limited resources
Practical scenarios from your field
Product description generation
Using manufacturer data, attributes and brand guidelines, AI creates search-friendly product copy, bullet points and meta descriptions, which the team spot-checks and approves.
Product data enrichment
AI extracts attributes such as material, dimensions or compatibility from data sheets, normalises spelling and assigns products to the right category to improve filters and on-site search.
Catalogue translation
Product copy is translated and localised for new markets using a glossary for brand terms and units, with native-speaker review for key pages.
Reviews and return reasons
Customer reviews and return reasons are clustered by topics such as fit, quality or delivery, so buying, product development and content teams can make targeted improvements.
Marketplace listing optimisation
AI adapts titles, bullet points and keywords to the requirements of individual marketplaces and checks listings for missing mandatory information or policy violations.
Natural language shop analytics
Exports from the shop system and web analytics are analysed with AI, for example conversion rate by category, basket abandonment or best-sellers, including hypotheses for optimisation tests.
Possible hands-on projects
Product copy generator with approval
An app that imports CSV product data, generates draft copy, shows it in an approval list and exports approved texts as an import file.
Returns analysis dashboard
An internal dashboard that clusters return reasons and free-text comments by product and topic and highlights anomalies per item.
Price and stock monitor
A small tool that regularly compares your prices and stock levels with defined thresholds and sends a notification when outliers appear.
All 16 courses for E-Commerce Teams
AI for business (13)
- ChatGPT for E-Commerce Teams
- Claude for E-Commerce Teams
- Microsoft 365 Copilot for E-Commerce Teams
- Google Gemini for E-Commerce Teams
- AI Agents for E-Commerce Teams
- Prompt Engineering for E-Commerce Teams
- Generative AI for E-Commerce Teams
- n8n for E-Commerce Teams
- Make for E-Commerce Teams
- Perplexity for E-Commerce Teams
- Mistral Le Chat for E-Commerce Teams
- AI Image & Video Generation for E-Commerce Teams
- EU AI Act & AI Compliance for E-Commerce Teams
Vibe & agentic coding (3)
Data protection & compliance
Online retail is subject to extensive consumer information duties, price indication rules, unfair competition law for product claims and the Digital Services Act for platforms; AI-generated copy must not contain misleading statements. Customer data from orders and reviews must be processed in line with the GDPR.
Prerequisites
You work in an online shop, on marketplaces or in digital retail and have a basic understanding of your shop system.
Frequently asked questions
Does AI-generated product copy hurt SEO?
Not if it is helpful and unique. The problem is interchangeable copy that merely rephrases manufacturer information. Precise attributes, usage examples, answers to frequent customer questions and a quality check produce copy that convinces search engines and shoppers alike. We practise exactly these prompting and review routines.
Who is liable for errors in AI-generated copy?
The retailer is liable for all product information, regardless of how it was created. Incorrect dimensions, materials or efficacy claims can lead to legal warnings. AI copy should therefore be based only on verified product data, and sensitive claims such as health or environmental statements should be approved separately.
Request without obligation
We will get back to you within one working day with a confirmation or an alternative suggestion.