SHYFTKICK

Practical intelligence for restaurants with 1–10 locations

Know what changed, see the evidence, act before it compounds.

ShyftKick connects read-only to your POS and labor systems, then delivers a daily briefing to the right people: what moved against your own baselines, the numbers behind it, and the next useful action. No dashboards to remember to open. No reports to assemble.

This lands in the GM's inbox at 7 AM

Every number is computed deterministically from your data and compared against your own comparable days — the median of up to eight matching weekdays, never a guess. Below four comparable days, the briefing says the baseline is still forming instead of raising false alarms.

  • Findings state their evidence and their limits. A dip in beverage units asks for a floor check — it never accuses.
  • Managers acknowledge, record action, or snooze from a secure link. Unresolved issues can escalate; resolved ones are re-checked against the next comparable day.
  • Quiet day? You get a short factual note, not manufactured drama.

Copper Fork KitchenQueen Creek

Daily briefing · Friday, 2026-09-18

Illustrative sample

Complete — POS import reconciled at 5:12 AM

Net sales

$3,569.00

-15% vs baseline

median $4,200.00 (8 Fridays)

Checks

205

-15% vs baseline

median 241

Sales / labor hour

$57.56

-16% vs baseline

median $68.52

Direct labor %

29.5%

wages only; excludes salary and payroll taxes

Lunch sales fell 29.0% below the Friday baseline

  • Lunch (11:00–14:00) net sales $927.00 vs median $1,306.00 across 8 comparable Fridays
  • Dinner held within normal range — the decline is concentrated in lunch
  • Check count down 36 vs baseline; average check roughly flat

Review lunch staffing and any nearby lunch-traffic changes with the GM; confirm whether the patio closure affected seating.

Traffic decline is measured; the cause is not. This is a review prompt, not a conclusion.

Beverage units are 29.2% below baseline

  • 132 beverage units vs median 186.5 across 8 comparable Fridays
  • Category mapping is stable across the comparison window

Check beverage availability and whether servers are offering drinks at greeting; review against the last menu change.

Data cannot distinguish a stockout from an offering change — verify on the floor.

Total day landed below baseline — driven by the lunch daypart

  • Net sales $3,569.00 vs median $4,200.00
  • Daypart attribution: lunch accounts for the majority of the shortfall

No separate action — resolves with the lunch finding above.

Same underlying evidence as the lunch finding; not double-counted.

Live in an afternoon, not a quarter

1. Check and connect

Confirm compatibility before paying a dollar, then enter your POS's read-only API credentials — most systems issue them in minutes — or set up scheduled report delivery instead.

2. Configure and verify

Describe your priorities in plain English; we map them to checks your data can support. History imports, and totals reconcile against your own reports before anything activates.

3. Activate

Pick who gets email or SMS, when, and for which locations. Briefings then run automatically — with guided recovery when a connection needs attention.

Honest about what connects today

A system appears as supported only after our end-to-end connection, import, and recovery tests pass on real accounts. Everything else shows its true status — including what's pending on our side.

SquareSupported
ToastSupported
CloverSupported
NCR AlohaVia scheduled reports
SpotOnVia scheduled reports
Oracle MicrosVia scheduled reports

Something else? Run the compatibility check — if it can export a daily sales report, there may be a path.

Read-only, always

ShyftKick never changes schedules, payroll, menus, or POS records. Recommendations stay subject to your managers' judgment.

No invented numbers

Code computes every metric; language models only explain verified findings. Missing data disables a finding — it never becomes a guess.

Built inside a restaurant

ShyftKick is built by a working operator and tested nightly against a live restaurant before any customer sees a feature.