Methodology
How we source, verify, and cite.
The single rule that governs this entire site: every number, fact, and named tool must be referenceable. Most "AI for restaurants" content is a vendor pitch or a statistic with no origin. We built the opposite, and this page explains exactly how, so you can trust what you read here and check it yourself.
The referenceability rule
Nothing gets asserted on this site unless it can be traced. In practice that means a chain: a claim in a guide links to an entry on the research hub, and that entry links to the primary source in the bibliography, which links out to the original publication. Internal first, external at the leaf. If a figure cannot survive that chain, it does not get published.
How the 125 statistics were gathered
Our research covers eight areas: industry economics, labor, technology and AI adoption, front of house, online ordering, reviews and marketing, local and AI search, and back-of-house operations. For each, we gathered figures from 77 primary and reputable secondary publications, prioritizing:
- Industry bodies and official data: the National Restaurant Association, the U.S. Bureau of Labor Statistics, and comparable national statistics.
- Peer-reviewed and academic research, such as the Harvard Business School study on how Yelp ratings affect independent-restaurant revenue.
- Named survey and market-research firms: Deloitte, BrightLocal, ReFED, Datassential, Mordor Intelligence, and others, always attributed by publisher and year.
- Vendor data, used carefully and labeled as vendor-reported, and triangulated against independent sources rather than presented alone.
How each number was verified
A figure is only included if the source page was actually retrieved and the number seen on it, not paraphrased from a secondary blog. Every statistic was then independently audited a second time: its source URL was re-opened and checked against the exact claim, and anything that could not be confirmed was dropped. Where a publisher blocks automated access, we cite the accessible press release or reputable secondary reporting of the same figure and say so.
Honesty over hype
We correct popular myths rather than repeat them (restaurants do not fail at 90 percent in year one; a perfect five-star rating is not the goal). We publish the uncomfortable numbers too, like the rate at which staff still intervene in AI voice orders, because a source you can only half-trust is worse than none. Vendor claims are labeled as such.
Freshness and corrections
Figures carry the year of their source, and we prefer the most recent available. The industry moves fast, so treat pricing and adoption numbers as of their cited date and confirm current specifics with the vendor. If you believe a figure here is wrong or out of date, that is exactly the kind of thing we want to fix.
Data usage terms
The underlying facts and their sources belong to the publishers we cite, and we link to each so you can go to the origin. The curation, categorization, and synthesis on this site, our selection and organization of these statistics into a single referenced index, is TableMagic's own work. You are welcome to cite it with attribution and a link. Please do not scrape or republish the compiled dataset wholesale.
Your next service / Ready when you are
Less busywork. A better next shift.
Turn what you have learned into a focused brief. Start with the job that matters most, and keep the tools that already work for your restaurant.
Describe it. Review it. Keep improving it. Check connections and costs before going live.