ETA with SKU risk
VOIDS connects purchase orders, promised and actual delivery dates, received quantities, and delivery reliability so purchasing teams can see risk by supplier.
Over 250 e-commerce brands run forecasting, inventory, and purchasing with VOIDS.









VOIDS connects purchase orders, promised and actual delivery dates, received quantities, and delivery reliability so purchasing teams can see risk by supplier.
VOIDS calculates on-time, in-full, OTIF, and lead-time consistency from purchase orders that have actually been received.
VOIDS connects to your existing commerce stack, maps the operating rules that shape purchasing, and supports the team through go-live.
VOIDS connects supplier performance to the inventory plan. Teams see on-time, in-full, OTIF, and lead-time consistency instead of only an on-time percentage, and can identify which PO, quantity, or ETA puts a concrete SKU and its revenue at risk. That turns a retrospective score into a prioritized supplier decision.
“VOIDS is our single source of truth for inventory. Without those dashboards, the operations simply wouldn't work.”
Jochen MollerCCO, HYROX


“Our problem was never demand, it was that our best-selling collars were always out of stock exactly when orders came in. Since VOIDS, we manage procurement down to the SKU. Warehouse costs dropped 35%, not a single stockout since.”
VOIDS calculates on-time, in-full, OTIF, and lead-time consistency from purchase orders that have actually been received.
Delivery status, partial quantity, and expected receipt are evaluated directly against coverage and revenue risk.
A 0-100 rating with Strong, Watch, and At-risk makes it clear which suppliers and POs need review first.
When an ETA, partial delivery, or delay does not reach the plan, the next reorder stays built on the wrong assumption.
Not every PO is equally critical. VOIDS connects supplier deviations to coverage, forecast, and revenue risk per SKU.
Without comparing the promised date, actual arrival, and received quantity, it is unclear which suppliers create an operational risk.
The relevant question is not only whether a supplier was late. It is which deviation changes which operating decision now.
| Criterion | VOIDS | Typical alternative |
|---|---|---|
| Evaluation | ETA, quantity, and reliability connected to coverage and revenue risk per SKU. | An aggregate on-time percentage without an operational consequence. |
| Collaboration | PO context with delivery date, quantity, status, and exportable PO documents. | One-off emails and disconnected purchase-order exports. |
| Priority | Escalations ranked by impact on availability and cash. | Every delayed PO is treated the same. |
Bring together shop systems, marketplaces, marketing channels, and ERP data without a separate data-engineering project.
Model lead times, MOQs, purchase prices, bundle mappings, and supplier constraints in the planning workflow.
A dedicated go-live call and weekly check-ins help the team validate the setup and operationalize planning.