4 hrs/day → 0a full role removed
real-timeevery pallet, site & type
weeklyauto reorder alerts
For one manufacturer, a dedicated person spent about four hours every day chasing pallet movements. We re-engineered the process: every pallet across every warehouse and business, by type, reconciled in real time.
A working model of the board we run in production. For each pallet type it computes free = in stock - under product, holds it against a min/max band, and turns it into one weekly buy list. All data is synthetic - explore it live below.
If you ship on pallets, you know they are never simple. Some customers order them, some bring their own, some take yours and do not bring them back - and every pallet is an asset that costs real money. Someone has to know how many are left at each warehouse, which business used them, when to reorder before a site runs dry.
For one manufacturer that someone spent around four hours every single day chasing pallet movements across warehouses, untangling negative balances, and holding it together in a spreadsheet. It is subtler than it looks: a pallet is not assigned during production, only at shipment - yet the goods already sit on pallets in the warehouse.
We re-engineered the whole process and put smart, AI-assisted logic behind it. The system now tracks every pallet across every warehouse and business, by type, with a clean real-time view of exactly how many are where.
Once a week the person in charge gets a single notification: buy this many of that type. The four-hour-a-day job did not get faster - it vanished.
If any asset in your business needs daily chasing - pallets, crates, containers, tools - the same redesign removes the chase, not just speeds it up.
Best for · manufacturers, distributors - anyone shipping on or tracking pallets
We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.
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