AI agents promise to automate complex tasks. In Supply Chain, however, the first gains often come from simple, well-scoped and measurable cases.
Three criteria to choose a use case
- A frequent task that consumes skilled time.
- Reliable sources: procedures, history, structured data.
- Controlled risk: a human validates sensitive decisions.
Examples of realistic cases
- Answering team questions from validated operating procedures.
- Preparing a summary of the previous day's anomalies from activity data.
- Pre-qualifying customer or supplier requests before processing.
Essential safeguards
An AI agent must cite its sources, refuse to answer outside its scope and be evaluated regularly. Data governance and security are not optional: they determine user trust.
