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Glossary · E-commerce

AI

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E-commerce

Artificial intelligence (AI) covers methods that let a computer perform tasks which would require intelligence if a person did them.

The German business encyclopaedia Gabler Wirtschaftslexikon treats AI as the study of intelligent problem-solving behaviour and of building intelligent computer systems. Article 3(1) of the EU AI Act describes an AI system as machine-based and designed to operate with varying levels of autonomy; such a system may adapt once in use and works out from its input how to produce outputs such as predictions, content, recommendations or decisions. Recital 12 adds that the definition should not cover systems that automatically carry out rules set solely by people.

In e-commerce, AI can write product copy from a shop's real product data, for example with RAG. In pharmaceutical logistics, a large language model can draft the text of a monthly report, with every figure taken from the application's data, not the model.

We use AI deliberately, and every tool proves itself in our own business first. Our guiding principle: people stay in charge, the model is an interchangeable tool and the system belongs to the client. In pharmaceutical projects, our code also goes through an AI-assisted security audit. Where a fixed rule does the job reliably, we advise against AI. A task that comes up once a quarter needs a checklist, and some problems call for a good form rather than an AI agent.

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