diff --git a/docs_src/use-cases/loss-prevention/advanced.md b/docs_src/use-cases/loss-prevention/advanced.md
index 7070924..ad9696e 100644
--- a/docs_src/use-cases/loss-prevention/advanced.md
+++ b/docs_src/use-cases/loss-prevention/advanced.md
@@ -60,29 +60,6 @@ To configure the app to connect to external MQTT broker, modify the `src/docker-
 | `ROI_NAME` | `BASKET`       | The name of the ROI used to filter objects |
 
 
-The following diagram illustrates the containers running:  
-
-[![MQTT export](./images/mqtt-diagram.jpg)](./images/mqtt-diagram.jpg)
-
-## MQTT Inference Export and ROI Detection
-
-This application enables monitoring object entry and exit within a defined Region of Interest (ROI), allowing real-time event tracking and external message handling.
-The `yolov8s_roi.json` pipeline exports the inference data through MQTT using mosquitto broker defined in the `docker-compose.yml` file. 
-
-To change the default MQTT URL, edit the file `src/pipelines/yolov8s_roi.sh` and update the variable `MQTT_HOST="127.0.0.1:1883"`.
-
-We have developed a business logic application in `src/app/loss_prevention.py` that tracks objects entering and exiting a defined ROI, generating corresponding events.
-
-To configure the app to connect to external MQTT broker, modify the `src/docker-compose.yml` and change the following env variables:
-
-| Variable   | Default        | Description                              |
-|------------|----------------|------------------------------------------|
-| `MQTT_URL` | `127.0.0.1`    | MQTT Broker URL                          |
-| `MQTT_PORT`| `1883`         | MQTT Broker Port                         |
-| `MQTT_TOPIC` | `event/detection` | Topic for publishing inference data   |
-| `ROI_NAME` | `BASKET`       | The name of the ROI used to filter objects |
-
-
 The following diagram illustrates the containers running:  
 
 [![MQTT export](./images/mqtt-diagram.jpg)](./images/mqtt-diagram.jpg)