Detecting that the same manual resolution keeps recurring, and proposing a new rule that would auto-match that pattern in future — reducing the rule-maintenance burden that is the central weakness of the rules-based era.
Frequency-based pattern mining over manually-resolved exceptions grouped by vendor, account and variance band; optionally association rule mining for multi-condition patterns
pandas groupby and count; mlxtend (Apriori) for combined categorical conditions