AI in e-commerce - what you can actually 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 the processes running in the background.

That is why many companies are asking the same question: Where should we start, and what actually delivers measurable impact? In this article, we show you five specific 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 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 advantage.

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

1. Scale content with AI

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

• Create product and brand copy in your brand voice, for example by automatically generating content directly in the CMS or shop based on existing materials and adapting it for different target groups or languages
• Edit images and videos efficiently, for example by swapping backgrounds in product shoots, creating banners from existing product images, or enhancing videos with simple AI effects
• Optimize conversion, for example by analyzing screenshots of existing product pages and turning the insights into wireframes for stronger, higher-converting versions

The impact: content workflows speed up dramatically - up to 2-10x faster content workflows according to McKinsey.

2. Build faster with AI

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

• Create prototypes and click dummies, for example by building initial ideas yourself as a non-developer and handing them off to your development team as a concrete starting point instead of lengthy specifications
• Implement simple features yourself, for example by building small marketing widgets or campaigns directly in the shop without having to deeply modify existing logic
• Develop complex functions faster, for example by working with your agency or development team to launch new features more efficiently and get them live sooner

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

3. Improve service and shop experience

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

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

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

4. Get found in AI systems

You can already use AI strategically today when it comes to visibility as well:

• Understand AI traffic, for example by analyzing which AI systems are bringing users to your products and what questions are being asked
• Optimize content for questions, for example by aligning 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 impact: 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 are emerging right now:

• Prepare products for AI, for example by building structured product feeds so AI systems can understand and display your products correctly
• Optimize your shop for AI, for example by designing data, content, and processes so they are readable and usable for AI systems
• Prepare checkout, for example by considering new standards like UCP or ACP so purchases can happen directly through AI systems

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

What this means for your business

AI is not 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 do not have to implement everything at once. The best approach is:

• launch initial pilot projects in each area
• test pragmatically instead of planning perfectly
• gather experience and scale step by step

The e-commerce platforms we use - dynamic commerce and Shopify - already come with many AI features today and continue to evolve. 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.