Demand moves unevenly
A part that barely moves in one branch may be critical in another. Aggregate forecasts hide local risk.
Demand · inventory · supply
Ritmo Planning turns fragmented signals across locations into clear purchasing and transfer decisions. Built for operations where demand is uneven, lead times shift and every shortage has a cost.
Independent venture · Early validation
Expected demand exceeds local stock before the next replenishment. Compare transfer and purchase scenarios before committing.
Concept example only. No live product or customer data is shown.
The problem
A network can have surplus and shortage at the same time. The hard part is seeing the whole picture soon enough to act.
A part that barely moves in one branch may be critical in another. Aggregate forecasts hide local risk.
Supplier delays, minimum orders and changing lead times alter the best decision before the next planning cycle.
Buying, moving or waiting each affects availability and cash. Teams need to see those consequences together.
The approach
The first focus is spare parts across warehouses and branches. The same planning logic can extend to other distributed inventories.
Bring forecast, stock position, incoming orders and lead times into a consistent view by item and location.
Compare buying, transferring and waiting under alternative demand and supplier scenarios.
Prioritize exceptions and make the assumptions, expected impact and trade-offs visible to every decision-maker.
AI with a clear job
We plan to use Claude to help teams investigate exceptions, compare scenarios and understand recommendations in natural language.
Why Ritmo
Ritmo Planning is an independent company idea shaped by firsthand experience with complex, multi-location inventory planning. We are validating the problem and the first product with potential design partners.
If you plan stock across multiple locations, we would like to learn how your team makes decisions today.