Data and Analytics1Quick Start
Analyzing Your POS Export with Claude
What This Guide Covers
- How to upload a raw POS export directly to Claude instead of manually retyping or scanning rows yourself
- How to find patterns around time of day, day of week, and transaction size that aren't visible from daily totals alone
- How to turn what you find into specific, practical decisions about staffing and operations
Why This Matters
Your POS system already captures an enormous amount of detail about how your restaurant actually runs. Most of that detail goes unused beyond a daily total, simply because digging through a raw export by hand is tedious enough that most owners never do it.
Case Study
Driftwood Café
The owner of Driftwood Café had always assumed Thursday was a reliably average day. Uploading three months of POS exports revealed that Thursday revenue was actually being carried almost entirely by a late dinner rush, while the lunch period was consistently among the weakest of the entire week.
Result: The owner shifted a staff member's hours to better match the actual demand curve, reducing unnecessary midday labor cost.