AI and E-commerce: 5 concrete levers to boost your sales
E-commerce boosted by AI

AI and e-commerce in 2026
In 2026, using artificial intelligence in e-commerce is no longer an option but a necessity to stay competitive. Consumers now expect personalised, instant, and seamless shopping experiences. Thanks to AI, online stores can deliver a level of service that traditional approaches simply cannot match. AI algorithms and deep learning analyse millions of data points to anticipate needs, optimise prices and content, and personalise every interaction.
Not integrating AI into your e-commerce means risking your competitors capturing your customers with superior operational efficiency.
Discover 5 AI use cases in e-commerce that are concretely transforming commercial performance.
Lever #1: Intelligent Product Recommendations
The Problem:
Shoppers visiting your online store are overwhelmed by the sheer number of available products. Without personalised guidance, they quickly abandon their browsing, generating a high bounce rate and missed sales. Classic recommendation systems based on simple filters fail to capture the complexity of individual preferences.
The AI Solution:
AI recommendation algorithms analyse in real time browsing behaviour, purchase history, stated preferences, and even current trends to suggest highly relevant products. Thanks to AI and deep learning, the system continuously learns from interactions to refine its suggestions.
Concrete Results:
- Average basket increase of 20–35%
- Bounce rate reduction of 40%
- Measurable improvement in customer satisfaction
The best AI tools for catalogue management natively include these recommendation features, turning every visit into a qualified commercial opportunity.
The DBM Solution: Octave:
To deploy truly high-performing product recommendations, DBM has developed Octave, its own artificial intelligence and automation solution. Custom-built and intelligently driven, Octave turns your data into concrete growth levers: it continuously learns from your data, adapts to your specific challenges, and integrates directly into your existing e-commerce environment. Not a generic off-the-shelf tool — a solution built around your real needs.
👉 Want to see how Octave can work on your site? Contact us
Lever #2: Segmentation & Dynamic Personalisation
The Problem:
Not all your customers behave the same way. Sending the same marketing message to all your consumers dilutes the impact of your campaigns and generates disengagement. Manual segmentation is time-consuming, often outdated, and fails to capture high-potential micro-segments.
The AI Solution:
Artificial intelligence enables ultra-fine automated segmentation of your customer base. AI models identify behavioural patterns invisible to the human eye: purchase frequency, price sensitivity, channel preference, optimal contact timing. Personalisation becomes dynamic and adapts in real time.
Implementation:
- Automatic segmentation into hundreds of micro-segments
- Homepage personalisation based on visitor profile
- Targeted email campaigns and ads with engagement rates multiplied by 3
- Automated A/B testing to identify the best-performing messages
This use of AI radically transforms the ROI of your marketing campaigns and significantly improves customer satisfaction.
The DBM Solution: Klaviyo + Expert Support:
For segmentation and personalisation, DBM is a partner of Klaviyo — the market reference for e-commerce marketing automation. Klaviyo connects your store, analyses your customer data, and lets you create ultra-targeted communication scenarios: emails, SMS, push notifications.
The tool is powerful. But it’s the configuration and strategy behind it that make the difference. DBM supports its clients in the setup, configuration, and continuous optimisation of Klaviyo so that every euro invested in marketing generates a measurable return.
👉 Already using Klaviyo without getting the most out of it?
Lever #3: CHURN Prediction (At-Risk Customers)
The Problem:
Losing a customer costs 5 to 7 times more than retaining an existing one. Yet most e-commerce businesses react too late, once the customer has already left. The weak disengagement signals (declining frequency, abandoned cart, unopened emails) go unnoticed without systematic analysis.
The AI Solution:
AI churn prediction algorithms analyse hundreds of variables to identify at-risk customers with 80–90% accuracy. Thanks to AI, you can intervene proactively before losing the customer for good.
Automated actions:
- Identification of at-risk customers with predictive scoring
- Automatic triggering of personalised retention campaigns
- Targeted special offers based on profile and history
- Alerts for your sales team on strategic accounts
This predictive approach, made possible by deep learning, transforms your loyalty strategy and protects your recurring revenue.
The DBM Approach:
Churn prediction relies on the quality of your customer data and the correct configuration of your tools. DBM acts across the entire chain: data structuring, setting up automated retention scenarios, and tracking results. Combined with Klaviyo, this approach allows you to win back a significant share of customers who might otherwise have quietly disappeared.
Lever #4: Intelligent Dynamic Pricing
The Problem:
Setting the right price at the right time is a constant challenge. A price that’s too high slows sales; one that’s too low destroys your margins. Manual adjustments are slow, subjective, and unable to react in real time to fluctuations in demand, competition, or stock levels.
The AI Solution:
The future of e-commerce is now playing out directly within LLMs (Large Language Models) like ChatGPT, Gemini, or Claude. These AIs are becoming fully-fledged new sales channels: consumers ask questions, request product recommendations, and place orders without ever leaving the interface.
Shopify has understood this perfectly by adopting an agentic model: its AI agents can interact, recommend, and finalise transactions autonomously, directly within LLM conversations. This is a revolution in how products are discovered and purchased online.
The DBM Approach: Certified Shopify Partner:
We are certified Shopify partners, and we support you in positioning your products within this agentic ecosystem: optimising your product pages to be recommended by LLMs, integrating Shopify feeds, and building a visibility strategy within the new AI-driven purchase decision engines.
Lever #5: AI-Powered Product Description & Content Generation
The Problem:
Writing hundreds, or even thousands, of unique, SEO-optimised product pages is a titanic task. Duplicate content penalises your organic search ranking. Writers are overwhelmed, deadlines stretch, and quality becomes inconsistent. This bottleneck holds back your catalogue growth.
The AI Solution:
Generative AI is revolutionising e-commerce content creation. AI models like GPT-4 automatically generate unique, SEO-friendly product descriptions adapted to your brand tone. In seconds, get consistent, engaging texts optimised for both consumers and search engines.
Concrete applications:
- Automatic generation of 100% unique product descriptions
- Content adaptation per channel (website, marketplace, social media)
- Instant multilingual translation for internationalisation
- SEO rewriting of existing pages to improve rankings
- Generation of optimised meta-descriptions and alt tags
This technology frees your teams from repetitive tasks and considerably accelerates your time-to-market. The operational efficiency gained can be reinvested in strategy and customer relations.
The DBM Solution: Octave:
With Octave, DBM’s AI solution, you no longer need to manually enter your product pages one by one. Octave automatically retrieves the necessary data — technical specifications, descriptions, attributes — and generates hundreds of complete, unique, SEO-optimised product pages directly in your store.
The result: an enriched catalogue in record time, without tying up your teams on repetitive tasks, and without sacrificing the quality or consistency of your content. A human review remains integrated in the process to validate and adjust — because a well-supervised AI performs far better than one left on its own.
Beyond These 5 Uses…
Beyond these applications, AI in e-commerce is also transforming:
- E-commerce chatbots and voice assistants for 24/7 customer service
- AI product search for ultra-high-performing internal search engines
- AI-powered stock forecasting to optimise your supply chains
- AI for e-commerce advertising with ultra-precise targeting and automated creatives
- AI e-commerce site creation for continuously optimised user experiences
- AI-assisted dropshipping to identify winning products
The best AI tools on the market natively include these features, offering e-commerce businesses a complete ecosystem to maximise their performance.
Conclusion
AI and retail are now inseparable. The AI use cases in e-commerce presented here are no longer the exclusive domain of web giants: these solutions are accessible to businesses of all sizes. Not integrating these tools into your digital strategy means risking being left behind by the competition.
Is Your E-commerce Ready to Shift Into High Gear?
AI is not a coming revolution — it’s an operational reality accessible today. The e-commerce businesses that integrate it now are building a lead their competitors will struggle to close.
At DBM, we don’t sell you AI just to look modern. We’ve developed Octave, our own artificial intelligence and automation solution, designed specifically to meet the concrete needs of e-commerce businesses. Our teams continuously train on the latest AI advances and trends — so you always benefit from the most current solutions, without having to worry about it yourself.
The result: you’re not simply supported by a provider that follows the news. You work with a team that anticipates what’s coming and has already tested what works.
Want to know which AI uses are a priority for your e-commerce?
Get ahead now — contact us.
FAQ
Which artificial intelligence should you use for e-commerce?
The choice of AI type depends on your primary objectives. For stock management and demand forecasting, prioritise deep learning algorithms that analyse market condition changes and market trends in real time — these solutions have a considerable impact on your operational efficiency. To improve the customer experience, integrate natural language chatbots that understand user preferences and suggest relevant upsells. Product recommendations significantly increase average order value and conversion rates.
What are the benefits of AI for e-commerce, and are there risks?
AI dramatically improves the customer experience: personalised product recommendations, a chatbot available 24/7, intuitive visual search, and a deep understanding of user preferences. Automated upselling significantly increases average order value and conversion rates. However, risks do exist. Without proper AI training for e-commerce teams, staff can feel overwhelmed. Privacy concerns and AI-driven e-commerce fraud detection require constant vigilance. The rapid e-commerce transformations driven by AI mean that failing to adapt exposes businesses to the risk of obsolescence.