The context
Store operations runs on a thousand small decisions a day across labour, replenishment, and task management. The store manager makes them with partial information.
Why it doesn't scale today
Centralised store-operations software treats every store the same. The actual store manager knows their store. Software that ignores that — or asks them to fight it — gets ignored.
What we ask in week one
- iWhich decisions in your operation should sit centrally, which at the store, and where does the agent layer add value to each?
- iiHow do we give your store manager an override that captures the why — so your central planning team learns from it the next cycle?
- iiiWhat is the cadence — daily, hourly — at which an operating signal actually needs to reach your stores?
- ivHow do we measure success in your shrink, service level, and labour productivity at the store level?
What we build
Agents that watch the operating signal, surface the right exception to the right store at the right time, and give the store manager an override surface with context. The store manager stays in charge; the small-decisions overhead disappears.
Why we're the right squad
Our retail practice has spent years inside the store operator's workflow. We know what the store manager will accept, what they will not, and how to design for both.