Six ways we take cost out of the roster, and keep service in.
Every solution runs on the StoreCadence platform, is scoped to a measurable outcome, and is handed over to your team. Start with the flagship, or with the one that matches your most pressing problem.
Free · No obligation · A reply within one business day, with the three data points we need to size your savings estimate
Staff Scheduling OptimisationFLAGSHIP
Skills-matched rostering that puts the right people, with the right skills, in every hour that sells.
Learn more →Labour-Cost Optimisation
A finance-grade business case that treats labour as the controllable cost it is.
Learn more →Demand, Footfall & Manpower Forecasting
Machine-learning forecasts of when customers arrive and the manpower each store needs, hour by hour.
Learn more →Retail Data & Analytics
Turning the data your systems already capture into decisions managers can act on.
Learn more →Implementation & Migration
Integration, rollout and training that move you from your current tool, or spreadsheets, to StoreCadence without disruption.
Learn more →Operational Efficiency
Store-process improvement that decides how far each labour hour goes.
Learn more →One method behind every solution.
Whichever solution you start with, the shape of the rollout is the same: prove it on a baseline, pilot, then scale and hand over.
Scan and baseline
We run an efficiency scan across a representative set of stores and agree the labour cost-to-sales and service baseline every outcome is measured against.
Model and design
The platform forecasts demand at store and daypart level; we design the rosters, business case or process changes that close the gap.
Pilot
We prove the change in a small group of stores and compare it against the baseline before any wider rollout.
Roll out and hand over
We scale across the estate, train your team and hand the method over, so the savings continue after we leave.
Find your labour-cost gap in one conversation.
A no-obligation efficiency scan shows what the StoreCadence software would save you, on your own data: where your roster is leaking margin and what it's worth to fix, with a clear business case before you commit.