Utilize TensorFlow to develop a model trained on your collection of images. Then, use a Python notebook in Cloud Datalab with this model to analyze packages for damage.

Leverage the Cloud Vision API to detect damage and trigger an alert via Cloud Functions, integrating this function with the package tracking applications.

Employ BigQuery machine learning for scalable model training, enabling batch analysis of packages.

Train an AutoML model on your image dataset, and construct an API around this model for integration with the package tracking applications.