The Food Factor Profit Audit. Three findings. Real dollar impact. Delivered in person at your restaurant.
Claim a Founding AuditMost Vancouver restaurants are leaving real money on the table every month — not because the team isn't working hard, but because no one has time to sit down and actually read what the data is saying. The POS exports the numbers. The reviews pile up. The labor reports get filed. Nothing connects.
Your top sellers aren't your top earners. The dish you push every night is quietly the one with the worst contribution margin — and you're discounting it.
You're staffed for the night you wish you had, not the night you're actually running. Tuesday is overstaffed. Saturday at 8:45pm is underwater. Every week.
There's one thing your guests have mentioned in 47 reviews this year. You've heard about it twice. It's costing you repeat visits — and you can't even name it.
Three findings. Each tied to a real dollar figure. Below: actual numbers from a recent audit.
"Three high-demand mains carried food costs above 34%. A $2–4 price increase is supported by review sentiment — and recovers margin without touching demand."
"Highest labor cost % falls on the lowest revenue days. Cutting one FOH shift on Tue/Wed lunch saves real money with zero impact on service or sales."
"34% of negative reviews mentioned noise level. A one-time $2K–$4K acoustic treatment resolves it within 60 days — and pushes your average review score past 4.5."
I come to your restaurant. I sit down with you, your GM, and your chef. We go through every finding on a screen. You ask anything. You leave with a one-page action list. No sales pitch unless you ask for one.
Every POS gives you sales. Every scheduling tool gives you labor. Every review platform gives you complaints. None of them connect to each other. The findings that actually move money live in those connections — and that's the whole point of an audit. Below are five real examples from the Coastal Table audit.
Single-source analysis misses the answer. The audit reads everything at once.
Tuesday's labor cost % was the highest of the week, yet Tuesday generated the lowest revenue. Staffing levels averaged within 10% of Friday's — but revenue was 73% lower. A scheduling correction visible only when both data sources are read together.
The top three dishes by review sentiment all carried food costs above 34%. Demand was confirmed by both volume and sentiment — meaning a $2–$4 price increase was the highest-ROI menu change available, with near-zero demand risk.
Weekday delivery peaked during the same hours (6–8 PM) as dine-in dinner. A weekday-only dine-in special could convert delivery orders — paying 27% commission — back into full-margin covers without losing volume.
On high-no-show nights, staffing was set based on bookings, not completion rates. With an 8.4% no-show rate, adjusting expected covers downward saves 3–5 labor hours per week during peak service — invisible if you only look at the schedule.
Brunch items showed the strongest margins and most positive review sentiment, with the lowest labor requirement per cover — yet brunch represented only 4% of total revenue. The expansion case is in the data; nobody had read it.
True commission rate was higher than the headline number across both DoorDash and Uber Eats once promo fees, marketing surcharges, and order-protection costs were included. $10,619 in real platform leakage in a single month, hidden across statements nobody had reconciled.
The reason a Food Factor audit catches what others miss is mechanical: every audit pulls from POS, labor, review NLP, delivery platform statements, and reservation data — then runs them through pipelines I built specifically to find the cross-domain leaks.
No single tool on the market does this. Most consultants don't even try. That's the wedge.
An 18-page report. Twelve sections. Every chart annotated, every finding tied to a recommendation, every recommendation tied to a dollar figure. Same format, same depth, same standard of work I'd deliver to you.
Click the cover to open the full PDF.
A 15-minute handoff. POS sales for the last 60 days, labor/timecard report, and your Google + Yelp listing URLs. Square, TouchBistro, and Lightspeed all export this in two clicks. I'll send you the exact instructions.
Your data runs through the same pipelines I built for restaurant operations analysis — POS, labor, review NLP, delivery economics, and reservations. I'm looking for the three findings that move real money.
60-minute working session at your restaurant, between services. You, me, the report on a screen, your team in the room. We go through every finding line by line.
You leave with a one-page action list and the full 18-page PDF. What you do with it is up to you. No retainer pitch unless you ask for one.
Food Factor is new. I'm building a Vancouver client base from zero, and the fastest way to do that isn't a louder pitch — it's letting three operators see the work and judge it themselves.
So I'm giving the first three audits away in exchange for three things: honest feedback, permission to use your audit as an anonymized case study, and one introduction to another operator if the work earns it.
I'm Tushar Pingle. I built Food Factor because Vancouver's restaurants deserve the same kind of operational intelligence that big chains pay six figures for — delivered by a person who understands the numbers and the room.
My background is in data engineering and analytics: building pipelines, modeling operations, finding the signal in messy data. I'm not a restaurant consultant who learned spreadsheets. I'm a data person who fell in love with how restaurants actually work, and I built the tooling to prove it.
The audit you'd get is the same work I'd put in front of a Toptable or Glowbal exec. You just happen to be first.
If you've read this far, you already know if it's a fit. Take the spot.
Claim my Founding Audit