There's a much simpler way to solve this, and it doesn't require wrestling with nested formulas or manually dragging dates into columns. The user who posted this, pulling raw sales data in a flat list and needing it restructured into a formula-ready layout, is describing a problem that millions of spreadsheet users face every week. Their frustration is familiar. They know what they want the output to look like. They just can't find the bridge between the raw data and the organized table that their formulas actually need.
The disconnect here is that most traditional spreadsheets treat data transformation as a manual chore. You write a formula, copy it down, adjust it, break it, fix it, and eventually get something that works, until next week's data arrives in a slightly different format. The user's request is reasonable: take sales entries with dates and amounts, then group them by week so that Sundays land in one column, Mondays in another, and so on. That should be straightforward. But in a standard spreadsheet, it requires either a complex array formula or a pivot table that still needs manual rearrangement. Neither is intuitive.
What this situation reveals is a deeper need: the tool should adapt to the way you think about your data, not the other way around. When you pull a sales report, you shouldn't have to redesign the layout every time you want to run a weekly sum or a day-of-week comparison. The ideal workflow is one where you describe the structure you want, dates across the top, days down the side, and the system reshapes the raw data automatically. That's what AI-native spreadsheets can do. They recognize patterns in your source data and offer transformations that match your intent, without requiring you to master lookup functions or date parsing.
The practical takeaway is this: if you've ever spent an hour rearranging data just to get a formula to work, you're not the problem. The tool is. The next generation of spreadsheets should let you say "organize this by week" and have it done. No manual Sunday columns. No broken references. Just clean, formula-ready data that lets you focus on analysis instead of cleanup. That's the standard we should expect, and it's already here for those willing to explore it.