Sales demo

Your existing restaurant data can reveal where revenue is leaking and where labour is creating value.

This guided journey walks through how PoppOff turns POS sales and labour data into trusted operator intelligence, separating measured improvement already achieved from modelled remaining opportunity. Modelled numbers are not guaranteed revenue.

  1. 1

    Revenue gap problem

    problem

    See where your sales-per-cover and labour-per-hour gap is leaking value.

    Open
  2. 2

    Trusted data import

    trust

    Staging, validation, reconciliation and approval before any final write.

    Open
  3. 3

    Data reliability & provenance

    trust

    Every number labelled measured, derived, estimated or contextual.

    Open
  4. 4

    LLS & labour leverage

    leverage

    Canonical Sum-over-Sum LLS with applied v1 opportunity factor.

    Open
  5. 5

    Server performance insight

    server

    Per-server attribution with identity confidence and basis transparency.

    Open
  6. 6

    Coaching & priorities

    approval

    Manager approves AI suggestions before they reach servers.

    Open
  7. 7

    OF v2 preview

    preview

    Read-only evidence. Adjusted LLS still uses applied v1.

    Open
  8. 8

    ROI report

    outcome

    Boardroom-ready modelled opportunity with confidence and assumptions.

    Open
  9. 9

    Pilot next step

    pilot

    Revenue Gap Audit + 30-day PoppOff pilot.

    Open

Trusted language used throughout the demo

  • Measured from POS
  • Derived from POS plus labour data
  • Modelled opportunity (not guaranteed revenue)
  • Preview only (OF v2 does not change Adjusted LLS)
  • Confidence depends on data quality
  • Contextual data is not used for hard scoring unless verified