Thin margins. Many locations. Systems that don't talk.
That is the pattern PrimeInsite is built for. Our partners spent their careers in restaurant technology, payments and franchise operations, so we start with the industries we know from the inside and say so when a problem is outside them.
Independent groups, regional chains and emerging brands.
From six locations to several hundred. The common thread is a general manager with too many systems and too little time, and a finance team closing the period on spreadsheets. AI earns its keep here in labor, inventory, guest recovery and the back office.
Where the money is
- Labor. Forecast-driven scheduling review, overtime prevention, and a daily brief the GM reads in two minutes.
- Food cost. Purchasing anomalies, waste patterns, invoice coding and vendor price creep caught weekly instead of at period end.
- Guest recovery. Review response, complaint triage and win-back, with a human in the loop for anything that matters.
- Back office. Deposit reconciliation, vendor statement matching, period-close assistance and the variance memo.
- Catering and large orders. Follow-up, quoting and scheduling, the revenue most groups leave on the voicemail.
What makes franchise different
- Brand standards. Anything guest-facing has to clear the franchisor. We know how to write the proposal and what the field team will ask.
- Data rights. Who owns the transaction data and who may train on it is in the franchise agreement, whether anyone has read that clause or not.
- Mandated systems. The POS is chosen for you. The value is in what sits around it: labor, back office, purchasing and finance.
- Multi-brand portfolios. One AI operating model across three brands and four back-office stacks, which is where most franchisees actually live.
Franchisees operating across brands, and franchisors supporting a system.
Franchise operators have the clearest AI economics in hospitality and the most constraints on acting on them. We work on both sides: helping large franchisees standardize AI across units without breaking brand standards, and helping franchisors build the program their system will actually adopt.
Broadline and specialty distributors, and the operators they serve.
Distribution sits on the richest operating data in hospitality and uses a fraction of it. The opportunity is on both ends of the truck: predictive ordering and rep enablement for the distributor, and purchasing intelligence for the operator, with the data flowing both ways.
Where we focus
- Rep enablement. Pre-call briefs, order suggestions and churn signals for field sales teams measured in thousands.
- Order prediction. Operator-level forecasting that reduces shorts and returns without a new ERP.
- Pricing and margin. Contract compliance, price exception review and margin leakage by account.
- Operator programs. Technology bundles distributors offer their customers, and whether the economics work for both sides.
Three more places our experience applies directly.
Same operating pattern, different balance sheet. We take these engagements when the fit is clear and refer them when it is not.
PayFacs, ISOs, acquirers and embedded-payments software
Underwriting and risk review, chargeback handling, merchant support and the unit economics of serving small merchants profitably. Our partners have operated payments businesses from PayFac to direct acquiring and know where the margin hides.
A repeatable AI playbook across a portfolio
Operating partners responsible for five or fifteen multi-location companies need one playbook, one vendor stance and one way to report progress to the investment committee. We build that, and we bring a diligence lens to the next acquisition.
Deciding what to build, partner on, and charge for
POS, back-office and ordering platforms are under pressure to ship "AI" and under more pressure not to give it away. Product strategy, pricing, partnership structure and go-to-market, from people who have sold into this channel for decades.
Who we are right for, and who we are not.
A good fit
- Six to several hundred locations, or a company that serves them
- A CEO or CFO who wants a number, not a narrative
- Willing to fix the data before switching on the tool
- Prefers a fixed price to an open-ended rate card
Probably not
- Enterprise programs that need a 200-person bench on day one
- Looking for a vendor to resell, not a plan
- Wants a pilot without a baseline to measure it against
- Needs it done without touching the systems or the managers
Bring us the problem. We'll bring the plan and the price.
A 30-minute working session with a senior partner. No deck, no pitch. You leave with a point of view on where AI pays back in your operation and what it would cost to find out.