UC-053
Workforce & Energy Optimisation
Schedules staff against predicted traffic and manages refrigeration, lighting and HVAC dynamically across thousands of small-format stores.
22-36Build Duration
9-29xIndicative ROI
The Challenge
Scaling past tens of thousands of employees makes manual scheduling unsustainable, and energy is a meaningful operating cost across thousands of stores. Growth keeps outrunning the spreadsheet.
How It Works
- Schedules staff against predicted store traffic, delivery schedules and local events.
- Predicts training needs and turnover risk through rapid expansion.
- Manages refrigeration, lighting and HVAC by occupancy and time of day.
What It Removes
- Manual rosters built store by store every week
- Refrigeration and lighting on a fixed setting
- Turnover risk spotted only after it bites
Input Data RequirementsStore traffic history, delivery schedules, local event calendars, employee and turnover records, refrigeration, lighting and HVAC telemetry
Output FormatTraffic-based staff schedules, turnover and training-risk flags, dynamic energy settings per store
“Rosters and energy settings keep up with store growth without anyone rebuilding them by hand.”