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To automatically categorize supplier expenses, this Skill learns and persists supplier-to-category patterns from spend events. Once a supplier appears three times, it auto-fills the category for new and recurring expenses without prompting.

Keyword inference for categorizing new suppliers acts as a fallback when historical data is insufficient. It analyzes supplier names to suggest categories, ensuring new expenses are still classified even without prior pattern matches.

No, you do not need an internet connection to run the spend pattern categorization script. It uses local JSON memory and Python 3 console scripts to update and query patterns with no network dependency.

The best way to start training the expense category auto-suggest model is by executing the Python script with a supplier and a category. This records the initial spend event patterns into local JSON memory.

The system stops asking for a category and auto-fills it when clear patterns are established. Specifically, it automatically applies the categorization once a supplier has three or more occurrences in the local pattern memory.