# Analyse a customer list | IT-INTERDEV

> The AI finds patterns in a table without seeing real customer names. This example is made up.

Language: en · Source: https://it-interdev.de/en/use-cases/analyze-a-customer-list.html · Alternate (de): https://it-interdev.de/anwendungen/kundenliste-auswerten.html · Updated: 2026-10-05

**Zone**: Yellow · **Office and administration**

## The situation

You have a list of customers and sales. You want to know: Who buys a lot? Where are sales falling?

## How it works

1. You paste an extract from the table.
2. **The Schleuse replaces secrets.** Names, addresses, identifiers and credentials are replaced with stand-in words. This happens on your side, not in the cloud. Amounts and dates stay as they are.
3. **The AI answers, the Schleuse translates back.** The answer contains the stand-in words. On your side they turn back into the real names.

## Example

**Your question to the AI:** Which customers bring in the most revenue? What stands out in the numbers?

**What is in your text:**

> **Meier, Jonas** · **Musterweg 12, 99999 Beispielstadt** · Sales 2025: 4,200 EUR · Sales 2026: 3,100 EUR

**What the cloud AI sees:**

> **Customer_1** · **Address_1** · Sales 2025: 4,200 EUR · Sales 2026: 3,100 EUR

*This example is made up.*

## What you get

You get hints about trends. The numbers stay unchanged.

## Good to know

Tables are processed cell by cell. Test with a small extract first.

## Zone of this use case: Yellow

Only through the Schleuse. And only to targets you have approved.

## Status of the Schleuse

Version 0.1 Alpha. So far tested only with made-up examples. Not reviewed by third parties. No legal advice.