I noted that Quicken is using AI and machine learning to improve the automatic categorization of downloaded transactions. Any thought to use it for trend analysis, such as spending, saving, account balance patterns over time?
I don't believe Quicken is using AI and ML for categorization. It's simply a rules engine. It uses basic logic such as "if merchant name is "Safeway" then assign "groceries" as the category. It's also looking at assignments from past transactions to determine the best category to assign. This also is not AI
But, you are correct, Quicken does need to use AI. It could be a lot smarter in assigning categories and with many other tasks if it used AI
Thought you might be interested in this new AI related post:
Curious experiment using long-term Quicken data — would love feedback — Quicken
@MannyC I agree there are finite number of large grocery stores, major cell phone providers, clothing stores etc. that AI could take a stab at assigning a category or makes it determination based on what other Quicken have used.
@Jeff76 Quicken can already attempt to assign Categories based on the Payee name. Sometimes it gets it right and sometimes not. To enable this, go to Edit > Preferences > Downloaded Transactions and check the Automatically categorize transactions box. Note that this will not work if you have deleted the built in Categories and replaced them with your own, but it will work if you rename the built in Categories. For regular bills, you can create Reminders and specify the correct Category there. You can also use Renaming Rules and Memorized Payees to get Quicken to assign the Categories you want to downloaded transactions.
See this discussion for more information
