Artificial Intelligence

Webshop automation for everyday tasks

Custom-built, bespoke AI systems — not a plugin. Hybrid architecture with real LLMs and intelligent pre-filtering for low operating costs.

Automation is worth starting where you regularly process the same data or answer the same questions. We look at your current workflow, the quality of your data and how the results are checked, then define the first task to implement. Product descriptions and the chatbot are covered on separate pages; the options for categorization, data processing and custom system integrations are specified based on an assessment of your webshop.

Our solutions use a hybrid architecture: some of the incoming requests are handled by rule-based pre-filtering, and only the more complex cases are passed to the language model (for example Claude or OpenAI). Depending on the task, this can significantly reduce the number of model calls and the monthly cost. The AI has no direct access to the database — it works exclusively on exported, filtered data. Forecasting and automatic pricing are data-intensive tasks that are planned separately.

Our AI solutions

Each solution has been tested and is operated on production webshops.

01Product description generation

For large product catalogs (5,000+ products), creating unique, SEO-optimized descriptions manually is hopeless. Our AI system generates unique, natural-language, multilingual descriptions from product attributes, category and example descriptions — in Hungarian, English and German simultaneously.

02Automatic categorization

Automatic classification of new products into the correct category tree. Especially useful during imports — supplier feeds are usually poorly or not categorized at all.

03Intelligent AI chatbot

24/7 available chatbot that knows the entire product catalog, can give specific product recommendations (e.g., based on motorcycle part compatibility), answers customer questions, and hands over conversations to a live operator when needed.

04Image recognition and optimization

Background removal, automatic resizing, format conversion (WebP / AVIF), AI image search ("find similar products to this image"), product recognition from supplier images.

05Product recommendation system

Personalized product recommendations based on purchase history, browsing behavior and preferences of similar customers. Typically 15-30% increase in cart value.

06Dynamic price optimization

Competitor price tracking, supply-demand based price optimization, cart abandonment pricing strategies. Real-time pricing suggestions for admins.

07Predictive inventory management

Demand forecasting based on seasonality, trends and historical data. Optimal order quantities and timing. Fewer stockouts, less overstock.

08AI content moderation

Automatic moderation of user content (reviews, questions, images). Filtering inappropriate content, spam detection.

09Unit and weight estimation

AI calculates shipping weight and package size from product data (size, material, category) — particularly useful during supplier imports where this data is often missing.

How are our systems built?

01

Data filtering and preprocessing

AI does not have direct database access. An intermediate layer exports and filters data — only the minimum information needed by the LLM passes through.

02

Rule-based pre-filtering

Simple questions / cases ("what's the shipping cost?", "where's my cart?") are answered by rule-based logic — without LLM calls. This handles 70-90% of requests.

03

LLM call for complex cases

Only the truly complex, context-dependent questions reach the Claude or OpenAI models, with prompt caching to minimize cost.

04

Logging and monitoring

Every AI interaction is logged in anonymized form. Weekly report: how many calls, what cost, what satisfaction. We continuously fine-tune the system.

AI technologies used

Anthropic Claude (Sonnet, Opus, Haiku)OpenAI GPT-4 / GPT-4oEmbedding models (text-embedding-3)Vector databases (pgvector, Qdrant)RAG (Retrieval-Augmented Generation)Prompt cachingFunction calling / Tool useImage AI (Vision API)Sharp / ImageMagickPython / Node.js / PHP integration

Frequently asked questions

How much does AI integration cost monthly?

Depends on traffic and complexity of AI features used. An AI chatbot with 1,000 monthly conversations is roughly €15-50 in LLM cost + server resources. Product description generation for 10,000 products is a one-time €150-500. We can provide an exact calculation after assessment.

Is our data safe?

Yes. The AI never has direct database access. An intermediate layer filters what can go to the LLM — sensitive data (customer data, payment information, business secrets) never leaves the system. Anthropic and OpenAI commit not to use API call data for model training.

What if Claude or OpenAI goes down?

Our architecture supports failover between multiple LLM providers. If one is unavailable, the system automatically switches to another. The rule-based pre-filtering still answers 70-90% of customer questions regardless.

Can you build an AI integration for a webshop you didn't develop?

Yes, as long as the webshop exposes an API (REST, GraphQL) or provides database access. WooCommerce, Shopify, Shoprenter, OpenCart, Magento — we have integrated with every platform so far.

Does AI need a separate server?

Usually not. LLM calls go to the Anthropic / OpenAI cloud APIs; only the intermediate rule-based layer runs on our server or yours. An average webshop doesn't require extra server capacity.

Want AI features in your webshop?

Request a free consultation — we'll review your needs and recommend the best AI solutions.

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