ALPHAMATCH PRODUCT / Labor Optimization

Align shift coverage to demand without adding scheduling complexity.

Use POS, HR, and timekeeping signals to recommend coverage, protect compliance, and keep managers in control.

  • POS, HR, and timekeeping integrations
  • Coverage versus demand view
  • Managers publish the schedule
Book a product working session See workflow
Coverage dashboard

Demand versus coverage, with a selected recommendation.

The matrix shows where coverage is short of demand. The selected recommendation includes a compliance note so managers see the constraint, not only the hours.

Labor planning

Traffic Pattern

MonTueWedThuFriSatSun
Low
High

Store Coverage vs. Plan

Morning92% coverage · 88% target
Afternoon78% coverage · 95% target
Evening96% coverage · 90% target

Labor Cost Ratio

On trackvs. revenue target this week
Workflow

How the work moves.

01

Connect data

Integrate POS, HR, and timekeeping systems so demand and roster rules come from systems managers already trust.

POS / HR / timekeeping
02

Recommend coverage

Surface coverage versus demand by shift, with compliance guardrails visible before anyone publishes.

Selected recommendation
03

Publish and measure

Managers approve and publish. Actuals versus plan stay visible so the next week is not rebuilt from a blank sheet.

Published schedule
Capabilities

Capability groups, not a feature dump.

Demand-driven scheduling

Align staffing with predicted traffic by hour and zone instead of copying last week’s roster.

Coverage versus demand matrix

Cost intelligence

Show labor cost versus demand pressure so inefficiencies are visible before payroll closes.

Selected shift recommendation

Compliance guardrails

Keep local labor rules and agreements in the recommendation so a publish action cannot silently break them.

Compliance note on the selected row

Multi-location orchestration

Coordinate coverage across a location group from one dashboard, with managers still publishing locally.

Location selector in the dashboard
Use cases

Where the workflow changes the decision.

Right-size floor teams by hour and zone without inflating the labor budget.

Launch weekends and quiet mid-weeks make a copied roster miss the floor.

  • Hourly coverage versus traffic
  • Zone-level recommendations
  • Manager publish control
Control

Built around your control model

Scheduling recommendations only ship when managers stay in control of publish, and labor rules stay in the same model as the roster.

  • Existing-system integration with POS, HR, and timekeeping
  • Manager review and publish checkpoints
  • Source control on demand and roster data
  • Compliance rules in the recommendation, not a side spreadsheet
  • Implementation support for multi-location adoption
Resources

Adjacent reading.

Workflow note

Demand-driven scheduling for multi-location teams

Workflow note
Implementation

Common implementation paths

Pilot

For one region or initial location group.

  • Connected data
  • Operating rules
  • Starter dashboard
  • Team onboarding

Multi-location rollout

For teams coordinating multiple sites.

  • Location mapping
  • Scheduling rules
  • Regional visibility
  • Adoption support

Enterprise implementation

For complex labor agreements and custom integrations.

  • Governance model
  • API and integration work
  • Custom rules
  • Phased rollout
Next

Bring one scheduling workflow to the conversation.

We will assess location count, data sources, labor rules, and implementation work involved—then advise whether a product working session, pilot, or wider delivery plan makes sense.

Which scheduling workflow are you looking to improve?
No currency, no trial signup. This starts an implementation conversation.
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