This user is describing a problem that is far more common than most people realize. They have the raw data on one sheet and a pre-built tracker on another, and they are trying to bridge the two with formulas. That gap, between what a spreadsheet stores and what a human needs to see, is where the real work happens. And in this case, the work is frustratingly manual.
What they need is a way to pull supplier totals from a large dataset, rank them by volume, and then surface the top three codes and the most frequent issue for each supplier. That is a multi-layered logic problem. Excel or Google Sheets can handle it, but only if you know how to combine SUMIFS, LARGE, INDEX, and a few array formulas in just the right way. The user is asking for a single formula that fills the table on Sheet 2, but the real ask is for a system that does the thinking for them. They want the spreadsheet to stop being a passive container and start being an active analyst.
This is not a failure of the user's understanding. It is a failure of the tool to make that understanding actionable. Traditional spreadsheets treat every column like a blank canvas, which is great for flexibility but terrible for guided analysis. The user has the right instinct: they want the data to organize itself based on rules they define. That should be the baseline expectation, not a puzzle that requires forum posts and screenshots.
An AI-native approach changes that dynamic. Instead of writing formulas that reference cell ranges and pray they don't break when a new row appears, you describe what you want. "Give me the top 15 suppliers by total VP spend, then for each one, show the top three codes and the most common issue." The system interprets that intent, builds the logic, and populates the table. No manual debugging. No wondering if the range should be D5:L2000 or D5:L2000 locked with dollar signs. The tool handles the mechanics so the user can focus on the decisions.
The practical takeaway here is straightforward: if you are spending more time constructing formulas than interpreting results, the tool is getting in your way. The user's request for automated supplier totals is not a niche edge case. It is a daily workflow for anyone managing vendor data, inventory, or project tracking. The solution should not require a degree in spreadsheet gymnastics. It should require a clear description of the outcome you want. That is the shift worth exploring.