SKU decisions with context
VOIDS connects inventory analytics, forecasting, and purchasing: stockout risk, excess inventory, and tied-up cash become actions per SKU.
Over 250 e-commerce brands run forecasting, inventory, and purchasing with VOIDS.
SKU analytics with demand, availability, and cash context
VOIDS relates inventory value and coverage to the SKU forecast, seasonality, and campaigns instead of only historical sell-through.
Move from KPI dashboards to prioritized purchasing decisions
VOIDS connects to your existing commerce stack, maps the operating rules that shape purchasing, and supports the team through go-live.
How does VOIDS get from forecast to purchase decision?
What is inventory analytics software?
Inventory analytics software evaluates stock in the context of expected demand. Rather than showing inventory value, sell-through, or coverage in isolation, it connects those measures with lead times, open POs, and revenue risk. The question changes from 'How much inventory do we have?' to 'Which SKU needs which decision now?'.
2,000 SKUs, 30+ markets. HYROX plans with VOIDS.
“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.”
How inventory analytics becomes action
Connect inventory with demand
VOIDS relates inventory value and coverage to the SKU forecast, seasonality, and campaigns instead of only historical sell-through.
Evaluate risks commercially
The system distinguishes revenue risk from stockouts and capital risk from excess inventory, then shows the financially relevant order.
Derive the next decision
Teams receive clear reorder, reduction, or monitor priorities with delivery and PO context.
When a team needs inventory analytics
Dashboards show numbers, not priority
When teams can see many KPIs but cannot identify the five SKUs with the biggest lever today, the decision framework is missing.
Excess stock and stockouts happen together
VOIDS evaluates both in one model: cash in slow movers and revenue risk on bestsellers.
Finance, marketing, and purchasing need the same truth
Analysis connects demand, campaigns, and procurement so decisions do not come from disconnected data sets.
VOIDS vs. inventory dashboards alone
A dashboard makes stock visible. Operational inventory analytics explains the decision that follows and the expected effect.
| Criterion | VOIDS | Typical alternative |
|---|---|---|
| KPI context | Coverage, demand, POs, lead time, revenue risk, and cash in one SKU decision. | Isolated metrics that a user has to combine manually. |
| Forecast connection | Forward-looking with campaigns, seasonality, and stockout correction. | Usually historical sell-through or static inventory coverage. |
| Next step | Prioritized reorder, reduction, and monitor actions. | An export, manual interpretation, and a handoff to another tool. |
Live in days, not months. VOIDS connects to your existing commerce stack, maps the operating rules that shape purchasing, and supports the team through go-live.
Connect the tool stack
Bring together shop systems, marketplaces, marketing channels, and ERP data without a separate data-engineering project.
Configure operations
Model lead times, MOQs, purchase prices, bundle mappings, and supplier constraints in the planning workflow.
Go live with guidance
A dedicated go-live call and weekly check-ins help the team validate the setup and operationalize planning.