Service demo

Roster against forecast covers

Plan shifts against expected demand rather than a repeating template.

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3 minute walkthrough

The challenge

Rosters repeat weekly, so quiet shifts are overstaffed and busy ones are not, and both cost money.

The scenario

A manager building next week's roster wants it to reflect the week that is actually coming.

What goes in

Forecast covers
Expected demand by day and part of day.
Staffing constraints
Availability, roles and hour limits.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

  • Build a roster for next week's forecast.
  • Which shifts are consistently overstaffed?
  • What does this roster cost against forecast revenue?

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

  1. Forecast the week

    Estimate

    Project demand by day and daypart.

  2. Match to roles

    AI-inferred

    Translate demand into required cover by role.

  3. Respect constraints

    Source

    Apply availability and hour limits as hard constraints.

What you get

The shape of what comes back — not a promised result.

  • Proposed roster

    Recommendation

    Shifts by role against forecast, with cost shown.

Why it matters

Cover where it is needed
Staffing follows demand rather than the previous week.
Visible labour cost
The roster's cost is read against expected revenue.

Service

Order against expected demand

Turn a demand forecast into order quantities, and show the cost of over- and under-ordering.

3 minute walkthrough

  • Inventory Optimisation
  • Forecasting

Service

Find where the margin actually goes

Analyse profitability by site, day and menu item once labour and waste are included.

4 minute walkthrough

  • Cross-Source Intelligence
  • Evidence Trail
  • Inventory Optimisation

Want to try this with your own work?

Open Service and bring your own data. No signup is needed to read these demos.