Kaufland's response: AI-based analysis and simple solution via support contact

In discussions with retailers who are concerned with the topic of early deliveries were affected, it turns out: The evaluation of Kaufland's shipping performance is carried out automated — using artificial intelligence (AI). These systems analyze large amounts of shipping data and identify deviations from the standard delivery window — even if they actually work in the customer's favor.

An affected retailer reported that An early delivery was identified by the system as a potential deviation, which was reflected negatively in the shipping service overview. However, when asked by Kaufland Support, it turned out: The AI-based evaluations can generate incorrect or inaccurate assessments, particularly in borderline cases where the delivery time is “too good”.

The solution — one phone call was enough

On a positive note, it should be emphasized: After a short Telephone call with Kaufland.de support Was the problem quickly recognized and resolved immediately. The affected metrics were corrected retrospectively so that there were no disadvantages for the retailer.

This experience underlines the importance of direct contact:
✅ Transparent communication with support can quickly solve automated misinterpretations.
✅ Kaufland is cooperativewhen it comes to unauthorized entries in the shipping service overview.
✅ The systems are learning — Dealer feedback is incorporated into the optimization of AI-based analysis.

Practical tip for retailers

Anyone who notices similar abnormalities in their shipping service overview at Kaufland.de should Don't hesitate to contact support directly. Experience shows:
➡️ A single call can be enough for automated miscalculations to correct and protect dealer performance.

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