Restaurant Chains
Same menu. Same recipes.Different food costs at every location.
Your top GM runs a 28% food cost. Your worst runs 34%. Same suppliers, same menu, same POS. Nobody can explain the gap because the answer is buried across six systems and forty manager decisions a week. We embed with your team, map every location from prep through close, and deploy AI specialists that find what's leaking margin. Not a consulting engagement. Real operational change, from week one.
The Problem
Where the money
is going.
Cost
Food Cost Variance Across Locations
Your theoretical food cost says 29%. Your actual cost at Location 12 says 33%. The gap is hiding in portioning drift, unrecorded waste, over-prepping for a Tuesday that looks like a Friday, and a kitchen manager who orders 'what we always order' instead of what the build-to says. Multiply that by 30 locations and you're bleeding six figures a year on a problem nobody owns.
Process
Labor vs. Demand Mismatch
Your scheduling software knows you need 14 people on Saturday night. It doesn't know that three of them can't work the grill station, that the 5 PM rush starts at 4:30 when there's a home game, or that your Tuesday lunch has been trending up for six weeks. Area directors catch it when labor runs hot. By then, you've already paid for the overstaffed Monday and the overtime from the understaffed Friday.
Cost
Menu Engineering Blind Spots
That signature appetizer sells 400 a week and the kitchen loves making it. But when you account for prep labor, ingredient waste from the components, and the ticket time it adds during peak, it's your worst margin item. Most menu analysis stops at food cost percentage. Nobody connects the prep hours, the waste logs, and the throughput impact to see what a menu item actually costs the operation.
Knowledge
Manager Knowledge Silos
Your best GM at the flagship location runs food cost two points lower than everyone else. She built her own prep sheet, trained her line cooks on portion control her way, and negotiated a standing order with the produce vendor that nobody else knows about. When she takes a vacation, her store's numbers look like everyone else's. That operational knowledge lives in her head, not in any system.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with a structured discovery. Our team interviews every area director, GM, kitchen manager, FOH manager, and shift lead across your locations. We connect to your POS, inventory management, scheduling, and food cost tracking systems. The result is your Blueprint: a complete, live map of how your restaurant group actually operates, from purchasing and prep through service and close.
Uncover
We analyze everything we mapped. Our platform finds the locations where food cost variance spikes, the shifts where labor doesn't match demand, the menu items that look profitable but aren't. We cross-reference purchasing patterns with waste logs, scheduling decisions with sales by daypart, and prep procedures across locations to find where your best GMs are doing things the rest aren't. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Standardize prep builds across locations, align labor scheduling with actual demand curves, flag vendor pricing gaps before the invoice clears. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Food Cost Variance from Portioning and Prep Drift
$278K/yr
Cost
Labor Overstaffing on Low-Volume Dayparts
$119K/yr
Cost
Vendor Pricing Gaps Across Locations
$96K/yr
Process
Area Director Hours on Manual Location Reporting
20 hrs/wk
Knowledge
Undocumented GM Prep and Ordering Procedures
42 procedures
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to every level of your operation.
AI-led conversations with every area director, GM, kitchen manager, FOH manager, and shift lead. Not surveys. Real conversations that capture the prep shortcuts, the ordering workarounds, the scheduling instincts, and the vendor relationships no system records.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how your restaurant group works, from vendor purchasing through kitchen prep to front-of-house service across every location. The first opportunities are identified, and AI specialists are already closing food cost gaps and rebalancing labor.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Food cost variance tightens as prep standardization spreads. Labor alignment sharpens as demand patterns evolve with seasons, promotions, and new locations. The platform pays for itself and keeps going.
FAQ
Common questions.
Our area directors each have their own way of reporting across their restaurant locations and none of the numbers match. Can you work with that kind of inconsistency?
That inconsistency is usually the first thing we map. Each area director's reporting habits reflect what they've learned matters in their cluster. We interview every AD and GM to understand what they track, why, and what they ignore. Then we connect the underlying POS and inventory data so you get a single view that doesn't depend on which area director built the spreadsheet. The local knowledge stays, the reporting fragmentation goes away.
We implemented Restaurant365 for food cost tracking eighteen months ago and half our GMs still use their own spreadsheets. What makes this different from another software rollout?
R365 is a good system, but it reports what your GMs enter. If a GM tracks waste in a notebook and never logs it, the system shows clean numbers that don't match the P&L. We don't replace R365. We start by mapping what actually happens in each kitchen: the prep shortcuts, the ordering habits, the portioning methods. Then we surface findings using data that already flows through your POS and inventory systems, so GMs see results without changing their daily workflow.
Every time we do a seasonal menu changeover our food cost spikes for three to four weeks across all restaurant locations. Is that something you can actually address?
Seasonal menu transitions spike food cost because prep builds, ingredient pars, and ordering guides all lag behind the new menu. Kitchens are still ordering components for the old menu, prepping new items in untrained quantities, and running through proteins at rates nobody forecasted. We map the transition process itself: which items carry over, which are new, where prep labor increases, and how ordering patterns need to shift. The specialist we deploy adjusts pars and prep builds location by location as the menu rolls out, instead of waiting for week-three actuals to show the damage.
We have a GPO contract for purchasing but our vendor pricing still varies across restaurant locations by as much as eight percent on the same protein. How is that possible and can you fix it?
GPO contracts set ceiling pricing, but individual locations still place orders with local reps who apply different substitution rules, delivery surcharges, and minimum order requirements. A location that orders ground beef twice a week in small quantities pays more per pound than one that consolidates into a single weekly drop. We map every location's actual purchasing data against your GPO terms, find where locations are paying above contract, and identify where order consolidation or delivery schedule changes close the gap.
Explore
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See what Yield finds in
your restaurants.
30 days. Real results. Or walk away.