The right people, on the right shift, at the right cost. LabourLoom puts an AI agent at every step, from mapping how work really gets done in store to the final optimised roster.
See it in action



What it covers
Capture how tasks are really performed across stores, departments and roles, so the plan starts from reality and not assumptions.
Set fair, measurable time standards for each task, built on observed work rather than guesswork.
Predict labour demand from sales, foot traffic and seasonal patterns, down to the hour.
Build rosters that match forecast demand, award conditions and team availability, without hours of manual adjustment.
See where labour hours are going, where they are being lost, and what each change is worth.
Why LabourLoom
Designed around Australian award conditions and the way local retail teams actually work.
AI is part of every module, from mapping a process to finalising a roster. It is not bolted on at the end.
One view across every store, department and region, with plans that scale as you grow.
Sydney launch
Thursday 19 November 2026 · Doors 4pm, program 4:30 to 6pm
Microsoft Australia, 1 Denison Street, North Sydney
An AI workforce planning platform for Australian retailers, covering process mapping, labour standards, demand forecasting, roster optimisation and labour analytics, with an AI agent at every step.
Yes. Rosters are built around award conditions as well as forecast demand and team availability.
LabourLoom launches in Sydney on 19 November 2026. Demos are available now.