Editorial Policy & Fact-Checking
Every guide, benchmark, and recommendation we publish is grounded in real bar operations data and reviewed before it goes live. Here is exactly how we do it.
Who Writes Our Content
Content on The Neat Profit is produced by our bar operations team — practitioners and engineers with first-hand experience running bar inventory programs, integrating POS systems (Toast, Square, Clover), and analyzing variance across hundreds of venues.
We write about what we build and what we measure. Our guides on variance benchmarks, inventory counting, and recipe costing come from the same data and workflows that power the product.
Our Fact-Checking Process
Data Sourcing
Benchmarks and statistics are drawn from anonymized, aggregated data across venues using The Neat Profit, published industry research, and direct operator interviews. When we cite an industry figure, we identify its source and scope.
Practitioner Review
Drafts are reviewed by team members who have run bar inventory programs in the field. Procedures, checklists, and workflows are validated against how bars actually operate — not how software marketing says they should.
Editorial Review Board Sign-Off
Before publication, every article is checked for factual accuracy, clear sourcing of claims, and honest disclosure of where our product is (and isn't) relevant to the topic.
Ongoing Maintenance
Guides are re-reviewed when industry benchmarks shift, POS platforms change their APIs, or our own aggregate data shows a meaningful trend change. Updated articles display a revised date.
Original Data & Methodology
The Neat Profit platform processes inventory counts, POS sales, and purchase orders across hundreds of bars, restaurants, and hotel venues. We publish aggregate findings — such as variance benchmarks and time-savings figures — derived from this dataset.
Aggregate figures are computed across active venues over rolling 90-day windows, excluding venues in their first 30 days of onboarding. Individual venue data is never published; all reported numbers are anonymized aggregates or ranges.
Where we reference external industry figures (for example, the commonly cited 15–20% average bar variance), we present them as industry estimates and distinguish them from our own measured results. See our case studies for measured outcomes from real deployments.
Corrections & Feedback
Spot something that looks wrong? We take accuracy seriously. Contact us through our help center and the editorial team will review and correct verified errors promptly.