P1 — Cash close pillar
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Daily sales target calculator

Set daily revenue targets for your restaurant from a monthly goal. Enter monthly goal, operating days, average check, and seating — get daily target, covers needed, seat utilisation, lunch/dinner split, and weighted weekday targets. Track this week's actuals vs daily targets. Print the daily target sheet for shift briefings. No signup.

Monthly targets
Daily revenue target
₹23,077
₹6,00,000 ÷ 26 days
Covers needed / day
66
@ ₹350 avg check
Seat utilisation needed
66%
66 of 100 max covers
Max theoretical covers
100
40 seats × 2.5 turns
Lunch / Dinner breakdown
Lunch (45%)
₹10,385
30 covers needed
Dinner (55%)
₹12,692
37 covers needed
Weekday targets (demand multipliers)
Adjust relative demand per day; targets sum to weekly goal
Mon
×
₹18,462
Tue
×
₹18,462
Wed
×
₹19,615
Thu
×
₹20,769
Fri
×
₹26,538
Sat
×
₹30,000
Sun
×
₹27,692
Weekly total: ₹1,61,538 · Covers per day: 66
This week — actuals vs target
Enter this week's daily actuals to track achievement vs targets.
Operational benchmarks
Revenue per seat / day
₹577
at 66 covers / 40 seats
Monthly revenue / seat
₹15,000
benchmark: ₹8,000–₹20,000
Covers/hour (8hr service)
8.2
over 8 service hours
Weekly revenue target
₹1,61,538
₹6,00,000 ÷ 6.0 weeks

Why daily targets matter more than monthly goals

A monthly revenue goal is too distant to drive daily behaviour. If your team only reviews revenue at month-end, there are no course corrections possible — by the time you know you are behind, it is too late to recover. Daily targets create a feedback loop: every shift, every manager knows whether the day is trending above or below target, and can make real-time decisions — push the special, seat walk-ins faster, run a lunch offer.

Operationally, daily targets translate the abstract monthly goal into something the floor team can act on. “We need ₹23,000 today” is actionable. “We need ₹6 lakh this month” is not. Briefing your manager at the start of each shift with the day's revenue target and the covers needed to hit it takes 30 seconds — and it changes behaviour throughout the day.

Average check: how to compute it correctly

Average check (also called average spend per cover or APC) is total revenue divided by total covers (guests served), not tables. A table of 4 that pays ₹1,600 contributes ₹400 average check per cover. Averaging by table gives the wrong number for covers-based planning.

To compute your current average check: take last month's total food + beverage revenue (net of GST and service charge) and divide by total covers served. If your POS does not track covers, estimate from your average table size and table count. Track average check monthly — a rising average check (without volume loss) is a positive signal; a falling average check signals price sensitivity or menu mix shift toward lower-value items.

Levers to increase average check without losing covers:

  • Upselling: Train servers to suggest starters, desserts, and add-ons. A successful starter upsell on 30% of tables adds ₹60–₹150 to average check.
  • Beverage attachment: Fresh juice or mocktail with every meal adds ₹80–₹180 per cover. Beverage food cost is typically 15–20% vs 30–40% for food — improving overall FC%.
  • Combo / meal deal: Bundled pricing at a slight premium to the à la carte sum drives higher check per cover while appearing to offer value.

Seat utilisation: what the number means operationally

Seat utilisation is the percentage of available seat-visits (seats × turns × operating hours) that are actually filled with paying guests. A 60-seat restaurant running 2.5 turns per day has 150 theoretical covers; if it serves 120 covers, utilisation is 80%.

Target ranges by format:

  • QSR / fast casual: 85–95% utilisation during peak hours (lunch rush 12–2pm, dinner rush 7–9pm); overall day average 50–65%.
  • Casual dining: 70–85% overall. If utilisation consistently exceeds 90%, you are likely turning away guests — consider extended hours or second outlet.
  • Fine dining: 60–75% by design — rushed turns hurt experience. Revenue is driven by high check size, not utilisation.

If this calculator shows required utilisation above 100%, your monthly goal is not achievable with current seating capacity and average check. The fix is: raise average check, increase turns (reduce dwell time), or open additional seating.

Where this fits

  • Daily sales report — enter today's actual revenue in the DSR at shift close; compare against the daily target from this tool
  • Cash variance calculator — daily cash close: actual cash vs POS total; a target-vs-actual shortfall may be revenue miss or cash variance
  • Break-even calculator — your daily target must exceed the daily break-even revenue; if they are close, your monthly goal may not generate profit
  • Table turnover calculator — compute your actual table turns to feed into this tool; turns directly determine theoretical max covers
  • Menu pricing calculator — raising average check through better pricing reduces the covers needed to hit daily targets
  • P1 — Cash close pillar — daily targets, cash close discipline, and shift-end reconciliation for restaurant operators