Sales Performance
Revenue, covers, daypart mix, and location comparison — yesterday vs. prior week.
📂 Synthetic data · 90-day history · 2 locations · Updated daily
Revenue Trend — 30-Day
Revenue by Daypart — Yesterday
Dinner drives 57–58% of revenue at both locations. Bar revenue sits near 70% gross margin — the highest of any category. Weekend dinner is the primary lever for monthly performance.
Average Daily Revenue by Location — 30-Day
Sales Health Summary
| Metric | Value | Status |
|---|
Labor & Staffing
Labor cost %, revenue per labor hour, and hours by role — the single largest controllable cost.
📂 Synthetic data · Targets: Labor cost 25–35% · Rev/hr $35–$55
Labor % by Location — vs. 31.5% Target
Labor cost responds quickly to demand-matched scheduling. Aligning staff to cover forecasts rather than habit recovers 1–3pts within 60 days — no headcount cuts required.
Labor Cost % Trend — 30-Day vs. 31.5% Target
Track labor % daily. By the time month-end reports arrive, the money is already spent. Target $6.80–$7.40 labor cost per cover as your real-time guide.
Recommended Actions — In Order
1
Map covers to scheduled hours per shift Now
Pull your last 4 weeks of cover counts by daypart and compare to scheduled hours. The Mon–Tue lunch gap typically runs 30–40% deeper than managers realize — this is where the first points of margin are hiding.
2
Switch to dollars-per-cover per shift Week 2
Target $6.80–$7.40 labor cost per cover. Build a simple rule: <60 projected covers = lean crew, 60–120 = standard, 120+ = full crew. Post it in the manager's office.
⚡ Recovers 1.0–1.5pts within 60 days
3
Build rolling forecast before scheduling Week 3–4
Use a 4-week rolling average by daypart to set staffing levels before the schedule is written. Every Sunday evening, compare projected covers to prior-year same week. Schedules match the forecast, not last year's habit.
Current Labor %
—
Yesterday's actual
Industry Target
31.5%
Best-practice benchmark
Every 1pt Reduction =
—
Straight to operating margin / yr
Rev / Labor Hr
—
Target: $35–$55
Labor Hours by Category — Yesterday
Rev / Labor Hour Trend — 30 Days
Food & Beverage Cost
Food cost %, category breakdown, waste, and comps — measured against industry benchmarks.
📂 Synthetic data · Target: Food cost 28–32% · Beef alert threshold: 12% of revenue
Food Cost % by Location — vs. 30% Target
Beef and produce are your highest-variance categories. Check your Thursday order quantities and compare to actual cover counts from the prior two Fridays and Saturdays before submitting.
Food Cost Category Breakdown — Yesterday ($)
Bar food cost (<20%) and dairy (<10%) are the most reliable categories. Beef and produce together drive 60–70% of food cost variance — focus ordering discipline here first.
Food Cost % Trend — 30 Days vs. 30% Target
Menu Engineering — Category Profitability Reference
| Category | Typical Cost % | Margin | Action |
|---|---|---|---|
| Craft Cocktails | 18–22% | High | Promote |
| Appetizers | 22–26% | High volume | Upsell |
| Pasta / Grains | 24–28% | Solid | Hold |
| Burgers / Sandwiches | 26–30% | Reliable | Hold |
| Seafood Entrées | 38–46% | Drain | Reprice |
| Kids Menu | 36–42% | Low | Simplify |
| Desserts | 18–24% | High | Upsell |
Guest Experience
Table turn time, covers vs. forecast, comp rate, and throughput efficiency.
📂 Synthetic data · Table turn target: 45–55 min · Covers forecast daily
Table Turn by Location — vs. 54 min Benchmark
Each 5-minute reduction in table turn on a Friday or Saturday dinner service adds roughly 8–10% more covers at full occupancy. This is free revenue — no marketing spend required.
Covers — Actual vs Forecast
When actual covers consistently beat forecast, your reservation system is undercounting demand. Consider opening 5–8% more walk-in slots on Thursday and Friday evenings.
Covers Trend — 30 Days Both Locations
Guest Metrics Summary
| Metric | Value | Target | Status |
|---|
AI Daily Briefing
Claude-powered operational intelligence — specific numbers, actionable recommendations, delivered every morning.
🤖 Generated by Claude · Powered by Anthropic · Based on yesterday's data
Today's Briefing — May 5, 2026
generated 7:02 AM
Data Inputs Sent to Claude
| Metric | Value |
|---|
How This Works
Every morning at 7am, the cockpit compiles yesterday's operational data — revenue, labor cost, food cost by category, covers vs. forecast, and table turn — into a structured summary.
That summary is sent to Claude with instructions to respond like a seasoned restaurant operations consultant: specific numbers, direct recommendations, under 150 words.
The result is a briefing the owner can read in 30 seconds and know exactly what two or three things to do today.
Operating cost: Each briefing costs roughly $0.004 in Claude API tokens — less than $1.50/month for daily delivery across both locations.
Alert Summary — Yesterday