AI in e-commerce - what you can implement today

Artificial intelligence is fundamentally reshaping e-commerce right now. And not just individual shop features, but the entire commerce engine - from content and conversion to behind-the-scenes processes.

That leaves many companies asking the same question: Where do we start, and what actually delivers measurable impact? In this article, we show you five concrete areas where you can already use AI in e-commerce today - with real-world examples and clear next steps.

Why AI in e-commerce matters now

AI is no longer a future topic. More and more customers are already using AI for research, product selection, and decision-making. At the same time, expectations around speed, personalization, and seamless processes keep rising.

For retailers, that means speed, efficiency, and relevance are becoming the key competitive edge.

The good news: The barriers to entry are lower than ever. Powerful models for text, images, and code are now available to mid-sized companies too.

1. Scale content with AI

Here’s how you can already use AI in your content workflow today:

• Create product and brand copy in your brand voice - for example, generate content automatically in your CMS or shop based on existing assets and adapt it for different audiences or languages
• Edit images and videos more efficiently - for example, swap backgrounds in product shoots, create banners from existing product images, or enhance videos with simple AI effects
• Optimize conversion - for example, analyze screenshots of existing product pages and turn the insights into wireframes for stronger, higher-converting versions

The result: Content workflows get dramatically faster - up to 2-10x faster content workflows according to McKinsey.

2. Build faster with AI

Here’s how you can use AI directly in development and day-to-day business:

• Create prototypes and click dummies - for example, even as a non-developer, build early ideas yourself and hand them over to your development team as a concrete starting point instead of long specs
• Implement simple features yourself - for example, build small marketing widgets or campaigns directly in the shop without having to dive deep into existing logic
• Develop complex functions faster - for example, work with your agency or dev team to build new features more efficiently and launch them faster

The result: More output in the same amount of time - studies show up to 36% more completed tasks with AI coding assistants according to Microsoft.

3. Improve service and shop experience

These are some of the ways you can already use AI today to significantly improve your customer experience:

• Use chatbots for consulting and support - for example, answer questions about products, orders, or returns automatically right in the shop
• Use interactive product advisors - for example, virtual try-ons, configurators, or guided product selection for complex assortments
• Develop custom industry solutions - for example, a dog care advisor for grooming products or the Stiegl bottle cap scanner for loyalty programs

The result: Less support effort and better conversion - many service cases are already being supported by AI today.

4. Get discovered in AI systems

You can already use AI strategically for visibility too:

• Understand AI traffic - for example, analyze which AI systems are driving users to your products and what questions they are asking
• Optimize content for questions - for example, align your content with typical user questions instead of focusing only on classic SEO keywords
• Build external mentions and trust signals - for example, through PR articles, product reviews, partnerships, and ratings on external platforms

The result: Your brand becomes part of AI answers, not just search results.

5. Sell through AI agents

This is where entirely new opportunities for your sales strategy are emerging right now:

• Make products available for AI - for example, build structured product feeds so AI systems can understand and correctly display your products
• Optimize your shop for AI - for example, structure data, content, and processes so they are readable and usable for AI systems
• Prepare for checkout - for example, factor in new standards like UCP or ACP so purchases can happen directly through AI systems

The result: AI is evolving from advisor to buyer - already today, around 20% of orders are influenced by AI.

What this means for your business

AI is not just a single feature - it is changing e-commerce as a whole:

• Content becomes faster and more scalable
• Development becomes more efficient
• Customer experiences get better
• new sales channels emerge
• Processes become automated

Companies that start now are building a clear competitive advantage.

How to get started now

You don’t have to do everything at once. The best approach is to:

• launch first pilot projects in every area
• test pragmatically instead of planning for perfection
• learn from experience and scale step by step

The e-commerce platforms we use - dynamic commerce and Shopify - already come with many AI features today and are continuously evolving. At the same time, they are ideally prepared for new developments like agentic commerce and AI-based sales channels.

Talk to us about your first AI pilot projects.