Discover how AI can simplify expense categorisation with partial keyword matching.

Are you looking to streamline your expense tracking by categorizing entries based on keywords?

3 min readMicrosoft Excel | Help & Support with your Formula, Macro, and VBA problems | A Reddit Community

This is the kind of practical, everyday problem that reveals how far traditional spreadsheets have fallen behind. A user wants to categorize expenses by pulling a partial keyword, like "grocer" from "Jack's grocer store", and matching it to a category. That is a simple, human request. Yet in most spreadsheet tools, it requires a nest of nested formulas, manual lookup tables, and a fair amount of patience. The fact that this is still a struggle in 2024 tells you everything about the gap between what users need and what legacy tools deliver.

What makes this request interesting is the word "partial." The user does not want an exact match. They want the formula to recognize "grocer" inside a longer string, ignore the store name, and assign the right category. That is exactly where AI-native spreadsheets excel. Instead of writing a brittle formula that breaks when a description changes slightly, you can define a simple rule: if the description contains any word from this list, categorize it accordingly. The AI handles the partial matching, the exceptions, and the edge cases. The user gets accurate categorization without rebuilding their sheet every time a new vendor appears.

The practical takeaway is straightforward. If you are still writing nested IF statements or VLOOKUPs to categorize expenses, you are working harder than you need to. An AI-native spreadsheet can take that keyword list, grocer, car, utility, dining, and apply it across thousands of rows in seconds. It can also learn from corrections. If "Amazon" sometimes means "shopping" and sometimes means "subscription," the system adapts. That is the shift: from maintaining a rigid formula to defining an intent and letting the tool do the rest.

This is not about replacing the user's judgment. It is about removing the friction between the data and the insight. The user already knows what categories they want. The hard part has been forcing that logic into a formula that does not bend. Now, the tool bends. That is the real progress. If you are still fighting with partial matches, try describing your rule in plain language instead of a formula. You might be surprised how much simpler the whole process becomes.

From Microsoft Excel | Help & Support with your Formula, Macro, and VBA problems | A Reddit Community

Hello I am doing expenses tracking and I want to use a formula to pull certain keyword from my expenses line for categorisation.

Jack’s grocer store $xxx —> formula to pull the partial key word from keyword listing

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