V3Qtor AG/Hospitality/Food and beverage
Menu Analytics Suite
Dynamic menu engineering from margin, popularity, dietary trends and seasonal availability, with allergen management and photo-based ordering.
Per dishmargin and demand side by side
- Practice
- Decision & Risk Sciences
- Sector
- Hospitality, food and beverage
- Systems involved
- None beyond the practice
- Why it matters
- The number is an engagement target1.
What it changes in the P&L
F&B contribution margin.
How the first weeks go
- Fit the data you haveDistributions, regressions, time series: we start with what the system records and say where the data is too thin to decide.
- Put a confidence interval on the decisionA rate, a risk score, a treatment match: each comes with its uncertainty and with the rule that says when a person decides instead.
- Calibrate on a rhythmBack-tests run weekly, drift is reported before anyone asks, and the model version is logged with every output.
What stays
Menu Analytics Suite becomes part of how the property runs. The morning stand-up reads its numbers and the kitchen orders from them. Hand-over comes when the number has held for a quarter.
Talk to us about Menu Analytics Suite.
Tell us where it would run and what it would have to change. We will come back with what we would look at first, what the first quarter produces, and what it would take.
Notes and sources
- 1Illustrative. Anonymised engagement scenarios; figures indicate modeled or targeted impact and are not audited outcomes.