Every Monday started the same way: nine logins, nine exports, and the better part of a day spent stitching them into one report before anyone could ask how the weekend went.
This nine-location quick-lube franchisee in the Southeast wasn't short on data. It was drowning in it. The numbers lived everywhere, and nowhere that anyone could actually use them on a Monday morning.
The challenge
Each store reported into a different place. Sales sat in the POS, hours in payroll, the P&L in the accounting package, and the rest in a stack of spreadsheets and vendor portals that had accumulated over the years. Building the weekly performance report meant logging into all of them by hand, exporting, and rebuilding the same workbook week after week.
By the time the report was finished, most of Monday was gone and the data was already two days stale. Worse, it was backward-looking: it told the owner what had already happened, never early enough to do anything about it. Nine stores' worth of decisions were being made off a report that took 40 hours a week to produce and was out of date the moment it landed.
What we connected
We connected the group's POS, payroll, and accounting data into a single myAnalyst workspace, with every location feeding one portfolio view that refreshes in near real-time. No more exporting, no more rebuilding. The weekly report the owner used to assemble by hand became a standing briefing, generated automatically.
On top of that live feed, LiveStats gave every store a real-time scoreboard, Store Health ranked all nine against each other, and the myAnalyst Pro monthly briefing summarized where to look first, in plain English, sized in dollars. Standing it up on their own POS data took days, not quarters.
How it played out
Instead of starting Monday in a spreadsheet, the owner started it with the report already in their inbox: every store ranked, the outliers flagged, and the week's biggest opportunities sitting at the top. The 40-hour reporting grind collapsed to about four hours of review. The owner now reads the numbers and decides what to do, rather than assembling them.
The shift wasn't only about time. Seeing all nine stores side by side, in real time, surfaced gaps that the old weekly workbook had buried: a location quietly running long on labor, another leaking margin on discounts. Catching those while the week was still live, instead of two Mondays later, is where the real money came back.
The result
Reporting time dropped roughly 90%, from about 40 hours a week to four, handing the team back the better part of a full work week, every week. Between the hours recovered and the margin found by finally seeing every store clearly, the platform paid for itself many times over: roughly 10x ROI in the first year.
The owner's Monday went from a data-entry marathon to a 30-minute read. Same nine stores, same data, just finally in one place, and finally early enough to act on.
Store Health