The problem CoreTAP was built for
An owner with one venue can stand in the room. They know which bartender is heavy-handed, which section drags on a Friday, and roughly what the walk-in should look like on Sunday morning. That knowledge does not survive the second location, and it definitely does not survive the fourth.
What usually replaces it is a weekly P&L and a phone call. Both arrive too late to change anything, and neither can tell you whether a bad week was demand or execution. That distinction is the entire job. Demand you plan around. Execution you fix.
How it works
1. Connect the POS
CoreTAP reads from your existing point of sale. No register swap, no new terminals, no retraining the floor on hardware. Historical data is available as soon as the connection is live, so the first read is usually same day rather than the start of a 90 day baseline.
2. See the variance
Every transaction gets attributed. Not just what was sold, but who rang it, on which shift, at what hour, with which modifiers, and against what it should have been. This is where the two categories separate: a rough night that was genuinely slow, and a rough night that was slow because of how it was run.
3. Act while it still matters
Findings route to the person who can do something about them, at a time when doing something is still possible. A pour variance flagged Thursday is four kegs cheaper to fix than the same variance found in next month's reconciliation.
That timing is the whole argument for real time restaurant analytics over monthly reporting. A monthly report is an autopsy. It tells you accurately what killed the margin, several weeks after anything could be done about it. CoreTAP is a restaurant intelligence platform rather than a reporting tool because the output is meant to change the shift it describes.
What CoreTAP measures
Revenue and product intelligence
Sales by item, category, daypart and hour, with the pour cost carried through so contribution is visible rather than inferred. Most menus contain two or three items that look like winners on volume and lose money on margin. They are usually the ones nobody questions.
Employee accountability
Sales per labor hour, void rate, comp rate, discount usage and average check, per person, benchmarked against the rest of the team on comparable shifts. The point is not surveillance. The point is that venue-wide averages conceal the two people at either end of the distribution, and those two are where both your problem and your next promotion live.
Pour cost and draft monitoring
Draft beer monitoring compares what physically left the keg against what was rung. A few ounces of overpour is invisible on any single drink and substantial across a quarter. It is the most consistently underestimated loss in a bar, because nothing about it looks like theft. It looks like a generous bartender.
Loss and fraud signals
Voids after close, comps with no matching approval, discount codes clustering on one operator, refunds at odd hours. Individually explainable. In a pattern, not. CoreTAP surfaces the pattern rather than the incident, which is the difference between an accusation and a conversation.
Labor and scheduling
Where labor hours actually went against where the demand actually was. Overstaffing is expensive and quiet. Understaffing is expensive and loud, and it shows up later as turnover and bad reviews rather than as a labor line.
Draft beer monitoring in practice
Draft is worth calling out separately because it is where the largest recoverable losses usually sit and where operators have the least visibility. A keg holds a known volume. A pour has a target volume. The gap between what the keg gave up and what the register recorded is your real variance, and until you measure it you are guessing.
The reasons that gap opens are mundane. Foam on a line that needs balancing. A glass filled generously because the guest is a regular. A tap left running during a rush. A keg changed mid-service with half an inch unaccounted for. None of that is theft, and none of it shows up as an event anywhere in your system. It shows up as a cost percentage that is two points worse than it should be, which then gets blamed on distributor pricing.
Once the variance is attributed by tap, by shift and by person, the conversation changes from "our pour cost is high" to "this line has been running heavy since the eleventh, and it is worth this much a week." One of those is actionable.
What happens in the first two weeks
There is no ninety day baseline period, because the data already exists. The POS has been recording every transaction for as long as you have been open. Connecting CoreTAP makes that history readable rather than starting a new collection window.
In practice the first read usually surfaces three or four things the operator half suspected and could never prove, plus one they did not see coming. The half-suspected items are typically a shift that underperforms, a comp rate that has drifted, and a menu item priced against costs that changed. The surprise is usually staffing shape: labor hours that were distributed evenly across a night when demand was not evenly distributed at all.
Two weeks of trading is normally enough to separate a pattern from noise. One bad Saturday is a bad Saturday. The same variance on the same shift for six consecutive weeks is a process, and processes can be changed.
Built on research, not repackaged dashboards
Delta Kinetics was founded by a researcher with a doctorate, and CoreTAP is grounded in analysis of how bars and restaurants actually operate. We published a six volume research program on it: 13,063 guest reviews across 41 venues in four Texas markets, every review classified twice by separate models, checked against state alcohol tax filings. That matters for a specific and unglamorous reason: benchmarks are only useful if the comparison set is real. When CoreTAP flags something as abnormal, it is abnormal against measured venues, not against a round number somebody chose because it sounded reasonable. The full method is public.
What it looks like when it works
73 percent lower turnover
Across three venues in a Houston nightlife group, using LearnTAP training. Read the case study
Where CoreTAP sits in the ecosystem
CoreTAP is the execution layer. It pairs with multi-location rollups when you are comparing venues rather than a venue against target, and with LearnTAP when the finding is a training problem rather than a staffing one. Most operational issues turn out to be one or the other, and telling them apart early is most of the value.
If you want the category-level view rather than the product detail, start with restaurant analytics. If your problem is specifically behind the bar, bar management software is the closer fit.