
Like most multi-unit operators, A&W managed their inventory on clipboards, spreadsheets, and tribal knowledge. Daily inventory counts took hours per location, so stock takes happened rarely and between them orders went out on instinct. The result was variance levels that were spiralling out of control through food waste and stockouts.
Managing that across multiple locations meant hours of duplicated manual work every single day, at every single store.
Marble replaced the inventory counts with computer vision and voice AI stock takes, allowing teams to count their whole stock room daily, in minutes instead of hours. With fresh counts always on hand, Marble's ML models forecast demand for every menu item, and AI agents draft each order and count for a manager to approve.
The first site was fully onboarded in six days — POS connected, recipes and vendors mapped, forecasts built, agents live. Every location after that came online in hours.
Demand forecasts now hit 97% accuracy at the item level, so ordering tracks what each store will actually sell. Inventory counts run 90% faster which means they are captured daily, and orders are never built on stale numbers or guesswork.
The tasks that used to consume hours for team members every day like counting, forecasting, and drafting orders, now run on autopilot with managers reviewing and approving instead of doing.
“Marble has completely automated tasks that used to take our teams hours of manual work every day.”
Multi-Unit Franchise Owner, A&W
See it in your kitchen next week.
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