Solution for Retail, Fitness & Franchise Chains

Benchmark store performance and optimize workforce scheduling

Connect RetailSolutions, Virtuagym, Bluebarry and POS data. Compare scheduled vs actual hours per location, monitor regional revenue trends, and manage workforce costs proactively.

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14-day free trial • Configured in 10 minutes • Includes AI agent & Viewer Hub

Centralized business intelligence without manual spreadsheets

Connect RetailSolutions, Virtuagym, Bluebarry and POS data. Compare scheduled vs actual hours per location, monitor regional revenue trends, and manage workforce costs proactively.

Industry Challenges

Why retail chains lack timely operational clarity

Store data trapped in isolated silos

Weekly store reports require manual exports to compare performance across different regional groups.

Scheduled vs actual hours blindspots

Overtime and scheduling variance are only uncovered after monthly payroll processing has closed.

No unified benchmark dashboard

Regional directors lack an instant, centralized overview ranking top and underperforming stores.

Capabilities

Multi-store benchmarking and workforce management

Store Benchmarking & Rankings

Compare revenue, conversion, and workforce cost ratios per square meter across store groups.

Scheduled vs Actual Hours

Track schedule adherence, overtime trends, and outstanding leave balances per store location.

AI Regional Assistant in Teams & Slack

Ask '@DigiData which stores deviated most on labor expenses this week?' and act immediately.

Weekly Store Performance Digests

Send automated performance summaries to store and regional managers via email or Microsoft Teams.

How it Works

Live in 3 simple steps

1. Connect your retail systems

Link RetailSolutions, Virtuagym or your e-commerce data sources with DigiData.

2. Build regional benchmarks

View structured dashboards for stores, store groups, workforce staffing, and revenue trends.

3. Share with store managers

Grant store and regional managers secure access to their specific location dashboards via the Viewer Hub.

Method and definitions

A repeatable store and weekly benchmark

Published evidence

DigiData has not published a retail case with measured operational outcomes. The sample KPIs are definitions to test in a source-controlled pilot, not proven store averages.

Review the published customer statements

Pilot scenario

Start with two comparable stores and four closed weeks. Combine store, group, contract hours, schedules and weekly actuals from RetailSolutions. Add revenue or margin only when store codes and week boundaries match the finance or POS source.

Sources and keys

Use a stable store code and shared calendar. Keep scheduled hours, worked hours, leave and contract hours as separate fields. Treat region and store group as filter dimensions, and change historical grouping only under an agreed reporting policy.

KPI	Definition	Control
Hours variance	Actual recorded hours minus scheduled hours per store and week.	Check incomplete weeks, leave and staff shared between stores.
Revenue per worked hour	Net revenue for the selected period divided by actual worked hours.	Use the same store code, period boundary and revenue definition.
Capacity use	Deployed or scheduled hours as a share of available contracted capacity.	Define how vacancies, sickness and flexible staff are treated.

Refresh cadence

Refresh after the operational week closes and show which week is complete. An interim position helps planning, but should not be compared silently with a closed week. Align revenue refresh with the available POS or finance source.

Validation

Ask a store manager to verify schedules and actuals, HR to verify contracts and leave, and finance to verify revenue. Check stores that changed groups and weeks around year boundaries. Flag incomplete weeks before sharing rankings.

Boundary

A ranking does not explain local conditions such as refurbishment, different opening hours or temporary closure. Add that context before treating a variance as a performance problem.

View the RetailSolutions connector Read the retail data guide

Supported retail, fitness and e-commerce software