AI for E-commerce
AI in an online store usually starts in three places: product copy, customer questions and pricing. Language models write descriptions from the catalogue and the spec sheet, a chatbot answers from the terms and the returns policy, and predictive models watch stock levels and react to competitors' prices. Stores that have done this report conversion up by around 30% and lower running costs within the first quarter. The order matters: each of those three needs its data in better shape than the one before it.
Three uses of AI in E-commerce
Product descriptions written automatically
GPT-4 writes product copy for search and for the category it sits in. The model reads the photographs and the technical specification, and the descriptions come out in several languages at once. On a catalogue of a few thousand items, that removes manual copywriting from the team's work entirely.
A sales chatbot that knows the shop
A RAG chatbot answers customer questions around the clock, recommends products and walks people through checkout. It works from the store's own knowledge base - terms, returns policy, product specifications - and handles 80% of enquiries without a person involved.
Dynamic pricing and demand forecasting
An ML model reads sales history, competitors' prices, seasonality and market trends, and moves prices on its own. It forecasts demand a fortnight ahead, so stock levels come down without the risk of running out.
Recommended stack
Return on investment
25 h
Hours saved weekly
€20
Hourly rate
€22,500
Annual saving
The maths: 25 h/week × €20/h × 48 weeks = €22,500 a year
Figures are quoted in euro, converted from Polish złoty at a fixed rate of 4.30 PLN to 1 EUR and rounded. Contracts are settled in either currency.
What makes it hard
The quality of what goes in - the model works with what it is given, and many stores have incomplete descriptions and missing product attributes
Connecting to an ERP or WMS needs its own middleware and a data mapping
Language models hallucinate when generating descriptions, so validation and a human in the loop are not optional
Dynamic pricing has to stay inside consumer-protection and price-display rules
Frequently asked questions
What does it cost to put AI into an online store?
It depends on the scope. A straightforward chatbot runs €1,900-3,500; a full system with generated descriptions, pricing and personalisation is €7,000-18,500. On top of that come API costs of roughly €120-450 a month, plus maintenance.
How long does an e-commerce AI project take?
A basic chatbot can be live in two to three weeks. Full integration with description generation and dynamic pricing takes two to four months, depending on the existing infrastructure and how clean the product data is.
Will AI replace people in my shop?
Not in the sense usually meant. AI takes the repetitive work: descriptions, standard questions, price updates. The team stays on what the model will not do - the range, and the customers they know by name.
AI in E-commerce
Tell us what gets done by hand at your company, and how often. Within 24 hours you get back where to start and how long it takes.
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AI readiness audit
Ten questions about processes, data and people. The result appears on screen.