Data-Driven Restaurant Operations
90-Day Pilot Program

Know Your Numbers.
Own Your Margins.

Your espresso martini is the #1 seller. But is it making you money at 3 PM on a Wednesday — or only at 9 PM on a Friday? We'll show you exactly where your labor dollars and product mix are working, and where they're not.

See the Pilot Details
Your espresso martini is your best seller — but do you know if you're actually making money on it at every hour of every shift?
We connect to your POS data and build statistical models in R Studio that answer the questions you've been guessing at.
The Pilot
Three Phases, 90 Days
We start with your data, build the models, and deliver actionable recommendations — not just reports that sit in a drawer.
01
Labor & Scheduling Optimization
Weeks 1 – 4
A gelato shop with a cocktail program has wildly uneven demand — your traffic curve doesn't follow a traditional restaurant pattern. We pull 4–6 weeks of POS transaction data and map staffing against actual revenue by hour and day to find the gaps.
Transaction volume by hour and day of week
Staff-on-clock vs. revenue-per-hour analysis
Peak identification for cocktail vs. gelato demand
Optimized staffing grid with projected savings
02
Product Mix & Margin Analysis
Weeks 3 – 6
The espresso martini being #1 is great — but it's more labor-intensive than scooping gelato. We run the numbers on true margin per item factoring in labor time, then look at basket patterns and daypart behavior to find hidden opportunities.
True margin per item (ingredient + labor cost)
Basket analysis — what sells together
Daypart profitability breakdown
Upsell and cross-sell opportunity map
03
Recommendations & Ongoing Model
Weeks 6 – 12
We deliver the optimized schedule, product mix insights, and a simple weekly dashboard you can actually use. Then we track results together and refine the model as your business evolves through the season.
Optimized weekly scheduling template
Product mix recommendations with P&L impact
Weekly performance dashboard
Monthly model refresh and review call
🍸
The Espresso Martini Question
Are you selling mostly low-margin gelato during shifts with a full bar staff on the clock? Are espresso martini buyers also buying gelato, or are they a completely separate customer? We answer these questions with your actual data — not assumptions.
Deliverables
What You Get
Everything is built in R Studio from your actual POS data — reproducible, transparent, no black boxes.
📊
Staffing Heatmap
Visual labor demand map by hour and day — see exactly when you need people and when you're burning payroll.
💰
Margin-per-Item Report
True profitability of every menu item including labor cost per unit — not just food cost percentage.
📈
Weekly Variance Dashboard
Scheduled vs. actual labor, revenue trends, and rolling performance metrics delivered every Monday.
🎯
Actionable Recommendations
Specific scheduling changes, menu positioning suggestions, and staffing adjustments with projected dollar impact.
Investment
Simple, Transparent Pricing
Start with the pilot. If the numbers work, we keep going.
90-Day Pilot
$1,750
Full labor optimization model, product mix analysis, weekly dashboards, and two monthly review calls. Everything described above — start to finish.
Ongoing Monthly
$500 /mo
Weekly model refresh, updated dashboards, monthly review call, and seasonal adjustments. Keeps the insights current as your business changes.
All we need to start: 4–6 weeks of POS export data and your current staff schedule. We handle the rest. First actionable model delivered within 3 weeks.

Ready to See Your Numbers?

No commitment beyond the pilot. If the data doesn't show clear value, you'll know within the first month.

Let's Talk
Or reach out directly — adam@amusementstandards.com
TableStandards

Data-Driven Restaurant Operations