AI that grows your online store
Personalise product recommendations, automate customer service, write product content at scale. More revenue, less manual work. Works with Shopify, WooCommerce, and Magento.
E-commerce is all about speed, relevance, and customer experience. Customers expect personalised recommendations as if you already know their preferences, instant answers via chat or WhatsApp, frictionless checkout, and SEO content that ranks for their exact keywords. Manually keeping up with hundreds or thousands of products is a race against your own scale: more products means more customer service, more copywriting, more email campaigns, more review management.
AI enables scalable personalisation without proportionally more staff. Every customer gets a tailored experience, 24 hours a day, in their own language. Product recommendations that adapt to purchase history. A chatbot that handles 80 percent of standard questions instantly and only forwards complex ones to your team. Product descriptions generated in batches of 50 instead of manually one by one. Email campaigns that depart automatically per segment at the right moment.
DataDream works for webshops across the Netherlands and Belgium: B2C fashion, B2B wholesale, accommodation platforms, agricultural e-commerce, and specialty stores. We build content pipelines (product descriptions at scale in multiple languages via Make.com), conversion optimisation via personalised landing pages, AI chatbots in 6+ languages, and email flows that optimise themselves based on A/B test results.
Starting is possible with a short analysis to see where the biggest impact sits for your shop. Often it is not at personalisation (which everyone thinks of) but at content automation or AI chatbot because volume is highest there. We calculate scenarios upfront based on your traffic, conversion, and average order value, and only build where the business case closes. No AI feature because it is hip, AI because it measurably generates revenue.
Challenges
Low conversion despite high traffic
Visitors browse but don't buy. Product pages aren't tailored to individual preferences. Everyone sees the same, while you know a fashion buyer wants something different than a gear buyer.
AI-powered product recommendations show relevant products based on browse behaviour, prior purchases, and similar customers, so visitors more easily find something that fits.
Customer service overloaded in peak times
The same questions keep coming back: delivery times, return policy, product info, stock, size charts. It costs time, it costs money, and in peak moments (Black Friday, Christmas, sales) wait times stretch to days.
AI chatbots answer 80 percent of standard questions instantly, 24/7, in 6+ languages. Only complex or emotional cases go through to your team. Scale automatically in peaks without extra hires.
Product content takes too much time
Writing product descriptions, translating to EN/DE/FR, A/B testing, SEO optimising. With hundreds of products that's a full-time job. With seasonal collections that renew every quarter you're structurally chasing your tail.
AI generates product descriptions at scale, in your style, in multiple languages, SEO-optimised, with quality checks on brand name and length.
No time for email marketing segmentation
You know segmented emails convert much better than one-size-fits-all blasts. But building segments, writing content per segment, and setting up flows takes days of work per campaign.
AI flows segment automatically based on purchase behaviour, write content per segment, and optimise based on performance. Set up once, gets better by itself.
Returns and fraud eat into the margin
Return rates of 20 to 40 percent are normal in fashion and electronics. Fraud damage is an ongoing cat-and-mouse game with payment providers that are too strict or too lenient.
AI predicts return risk per order and gives you a chance to intervene proactively (extra info, alternatives, better photo). Fraud detection picks up patterns that rules miss, with fewer false positives.
Results
- Higher conversion through personalised recommendations
- Customer service available 24/7 via AI chatbot in 6+ languages
- Product descriptions automatically generated and optimised
- SEO content at scale via Make.com and n8n pipelines
- Dynamic pricing strategy based on market data
- Return prediction and fraud detection
- Automated email campaigns per segment
- Works with Shopify, WooCommerce, Magento, Lightspeed
- B2B and B2C cases (industrial wholesale to fashion)
- Working in evaluable phases with measurable KPIs
Frequently asked questions
Does this work with my current e-commerce platform?
Yes. We integrate with Shopify (Plus and standard), WooCommerce, Magento (Adobe Commerce), Lightspeed, BigCommerce, Centra, and custom platforms via API. Most integrations are operational within a week. For unknown platforms we build API connections or work via Make.com/n8n as a bridge. No platform lock-in: you can switch your tooling later without rebuilding the AI layer.
How many products do I need at minimum?
AI recommendations based on purchase behaviour work best with 50+ products and 100+ orders per month. But smaller catalogs see immediate benefits too: automated product descriptions, AI chatbot for standard questions, email campaign automation, and SEO content. A webshop with 20 products can already see ROI from content automation alone.
How do you work through the business case?
It depends on what you deploy and at what scale you operate. We calculate scenarios upfront based on your traffic, conversion and average order value, so you know what the business case could deliver before we build anything. We only build where the numbers support it.
How do you approach an engagement?
We work in phases. First a short analysis to find the impact points in your shop. Then a focused pilot on one application (chatbot, product content, or another process) so you can measure the effect on your traffic and conversion. Only after that do we scale what works and stop where the business case doesn't close. You evaluate at each phase whether we continue.
How does product content at scale work?
We build content pipelines that pull product data from your PIM system or Shopify, use your style guide as reference, and deliver SEO-optimised content in multiple languages. We build in quality controls: minimum length, no forbidden words, correct brand names, and a tiered review process. What takes a lot of time per product manually, AI does in a fraction of that.
Does the AI chatbot also work in foreign languages?
Yes. Our chatbots work natively in NL, EN, DE, FR, ES, IT and can be extended to other languages. Detection happens automatically based on browser language and first client message. For specific industry terminology (fashion, jewellery, technical products) we train the bot on your product catalog and prior customer conversations so it really understands your product category.
What about returns and fraud detection?
Two separate AI applications where webshops see big gains. Return prediction: AI models identify orders with high return risk based on product, customer, behaviour, and prior data. You can intervene proactively (send extra info, recommend alternatives). Fraud detection: AI flags suspicious patterns (unusual order size, atypical payment combinations, geographical anomalies) before the order is processed. Our clients typically see 30 to 50 percent lower fraud damage.
Does this work for B2B webshops or only B2C?
Both. B2B has its own challenges: more complex catalog, discount tiers, account-specific pricing, long sales cycles. Our AI approach works particularly well here because you have lots of data on recurring customers. AI recommendations based on purchasing patterns, automated quotes, smart sales follow-up, and chatbot for account managers with full context. We have B2B cases in industrial wholesale and professional services.
Let's get acquainted.
Book a free call or send us a message. We always respond within 24 hours on business days.
Phone
+31 85 124 95 22Location
Middelburg, Zeeland
Availability
Reachable 24/7 digitally