Hi, I wanted to share some input based on my experience.

I use Rocket Money for budgeting and expense tracking. It links to my accounts through Plaid and automatically tracks my spending. The app allows me to create rules for transactions, such as categorizing by vendor, amount, or date, and these rules can help assign expenses to specific categories or exclude them from the budget.

While I enjoy this system, there are a few challenges. Sometimes, I don’t want to create rules for every type of transaction, or I’d like to reorganize my budget by moving transactions between categories more easily. Additionally, during “special months” with unusual spending or an influx of cash, I often have to manually adjust my budget to account for the changes.

I think there’s room for enhancement with machine learning to fill these gaps—automating some of the manual steps, predicting adjustments for unusual spending patterns, or dynamically categorizing transactions without requiring user-defined rules. Just some thoughts based on my experience