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Tideline
Demand forecasting that cuts overstock and stockouts across every warehouse — accurate from week one.
Td
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The venture
Tideline grew out of an ML pipeline we built to forecast demand across 40 warehouses. It trimmed overstock by double digits in the first quarter, so we made it a standalone product.
The model is live across retail and logistics customers and this round — now 95% committed — closes the seed extension before our Series A.
Traction
-12%
Inventory waste
40
Warehouses live
94%
Forecast accuracy
$2.8M
ARR
Use of funds
Model R&D45%
Integrations25%
Go-to-market20%
Operations10%
Investment tiers
Led by
LK
Leo Kovač
AI & ML Lead
JM
Jonas Meyer
CTO