Everyone talks about AI in ecommerce. We actually deploy it.
Product description automation, customer service agents, predictive analytics — we deploy AI where it delivers measurable results.
No stack overhaul. No buzzwords. Real implementations with real outcomes.
What is AI in ecommerce?
It's not about chatbots. It's about operations.
AI in ecommerce isn't a chatbot on your homepage. It's agents that take over repetitive operations — the ones that currently eat dozens of hours per week from your team.
For AI to perform well, one rule must hold — the balance of three pillars: technology, design and business. Technology needs to be stable and scalable. Design needs to guide the user, not get in the way. Business goals need to set the direction — not the other way around. AI amplifies each of these pillars, but it won't find the right balance between them on its own — that takes human judgement.
We've been deploying AI in online stores since 2024. Over a dozen projects, from simple agents to full automation pipelines. We work on your existing stack — no platform swap, no migration.
What does AI change in your store?
Product descriptions
AI agent generates descriptions matched to category, sales channel and target audience. Your editor reviews and publishes. Instead of 2 weeks for 500 descriptions — 2 days including review.
Customer service 24/7
AI agent handles repetitive tickets — order statuses, returns, FAQs. Escalates complex cases to your team. Your support staff focuses on what actually requires human judgement.
Personalised recommendations
Product recommendations based on actual user behaviour, not manually configured rules. Dynamic, updated in real time, with zero team involvement.
Translations and expansion
Enter a new market without building a translation team. AI handles localisation of product content, category descriptions and marketing materials — with industry context preserved.
Predictive analytics
Forecast stock levels, demand trends and seasonality before the problem occurs. Fewer stockouts, less overstock, better purchasing decisions.
Content marketing
Blog posts, newsletters, social media content — AI-generated, SEO-optimised and consistent with your brand voice. Your content team scales without new hires.
Image generation
Product photos on varied backgrounds, promotional banners, social media creatives — AI-generated without a photoshoot. From concept to finished graphic in minutes.
Campaign optimisation
Agent analyses campaign data — costs, conversions and ROAS at ad group and creative level. It identifies where budget is wasted and where scaling makes sense. Your ads specialist gets ready-made recommendations — decisions stay with your team.
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Why ecom.house?
ecommerce practitioners who deploy AI
We're not an AI lab. We're a software house with close to 10 years in ecommerce that added AI to its toolkit. We understand the industry — from ERP integrations, through logistics, to marketplace operations.
We know store processes inside out — fulfilment, PIM, checkout, marketing automation. We know where AI delivers measurable returns and where it's a waste of money and time. We don't deploy AI for the sake of it.
Over a dozen completed AI projects in ecommerce. A team combining development expertise with practical knowledge of store operations. Tools: Anthropic, OpenAI, Gemini, n8n, ComfyUI — we match technology to the problem, not the other way around.
What else?
AI-driven development
Ecommerce AI isn't just about agents automating store operations. It's also a completely new approach to development — AI writes code, tests it in a preview environment and proposes changes. None of them reach production without team sign-off. We control every step of the process — not pretending AI doesn't work, but knowing exactly where a human needs to step in.
And on top of that, picture this: you have an idea at 9am. You drop in a screenshot and a short description. By noon you have a preview with the finished change. You click 'approve' — and it's live. No sprints. No tickets. Same day. That's devAI server — an optional service that puts you directly inside our process.
Describe your idea
You describe what you want to change or add. Drop a screenshot, a rough sketch, an example. The more context, the better the result.
AI agent executes
The AI agent on the devAI server writes code, runs automated tests and presents a ready proposal for review.
Review and approve
You test on a preview URL, check the result. Approve, adjust or send feedback — the agent iterates.
Pipeline deploys
Once approved, our pipeline automatically deploys the change to production. Our team works in the background — monitoring, responding and verifying.
COMPARISON
From idea to production the same day
| Metric | Traditional development | With devAI |
|---|---|---|
| Time from idea to production | Days — weeks | Same day |
| Who writes the code | Developer from scratch or with AI | AI agent + team review |
| Cost of small changes | Full developer rate | A fraction — AI executes, human verifies |
| Testing | Manual tests + preview on stage | Automated tests + preview URL |
| When AI isn't enough | n/a | Developer takes over |
| Production deployment | CI/CD pipeline + critical path tests | CI/CD pipeline + critical path tests |
| Change oversight | ecom.house team per SLA | ecom.house team per SLA |
| Rollback after issue | Immediate | Immediate |
| Knowing what's in production | Full audit log | Full audit log |
AI is a hammer. A great one — but still just a hammer.
You can't build a house with a hammer alone.
AI writes code, generates content, classifies tickets — faster than any developer, and the quality keeps improving. With that kind of output, it's tempting to sit back and let it run. We don't.
An online store isn't a single task. It's architecture — hosting, CI/CD, monitoring, security, integrations with ERP, PIM, payment gateways, logistics. It's data flows between systems that need to work at 3am on Black Friday. AI doesn't design that — at least not on its own. You need people who've built dozens of stores.
We're pragmatic. AI is the best tool in our stack in years. But someone still needs to keep their hands on the wheel and set the course. That's what we deliver: the architecture, the infrastructure and the experience to know where AI saves you money — and where letting go costs you more.
More about AI in ecommerce
Questions about AI in ecommerce
Will artificial intelligence replace my ecommerce team?
No. AI in ecommerce takes over repetitive, time-consuming operations — generating product descriptions, categorising tickets, updating feeds. Your team gains time for strategy and decisions that require human judgement. In practice: an AI agent generates 500 descriptions per day, your editor reviews and publishes — instead of writing from scratch.
How much does AI implementation cost for an online store?
Simple projects — e.g. an agent for product descriptions or ticket categorisation — cost a few thousand PLN. Full automation of multiple processes (customer service, analytics, content) can reach tens of thousands. Cost depends on the number of integrations, process complexity and scale of operations. We quote individually after analysing your processes — get in touch for an estimate tailored to your store.
Which ecommerce processes can AI automate?
Three areas deliver the highest ROI: product content automation (descriptions, translations, attributes), customer service (ticket categorisation, repetitive query responses, order tracking) and predictive analytics (demand forecasting, stock optimisation). On top of that: personalised recommendations, product image generation and ad campaign optimisation.
How does AI automate product description creation?
An AI agent generates descriptions matched to category, sales channel and target audience — based on PIM data, images and technical specifications. Descriptions are consistent with your brand voice and SEO-optimised. Your editor reviews and publishes. Instead of 2 weeks for 500 SKUs — 2 days including review.
What is devAI and how does it speed up store development?
devAI is our development pipeline with built-in artificial intelligence. An AI agent writes code, automated tests verify it, a preview URL lets you test the change, and one-click deployment pushes it to production. From idea to production the same day — no sprints, no tickets.
Can I test AI in my store before a full rollout?
Yes. We recommend a pilot — we pick one process (e.g. product descriptions or customer ticket categorisation), deploy an AI agent, measure results over 2–4 weeks. Based on outcomes — time savings, output quality, KPI impact — you decide whether to expand to more processes.