70–80% forecast accuracy at SKU level (3–6 months)
VOIDS is demand forecasting software for e-commerce: predict sales by SKU, channel, and country and turn forecasts into purchasing decisions.
Over 250 e-commerce brands run forecasting, inventory, and purchasing with VOIDS.









VOIDS is demand forecasting software for e-commerce: predict sales by SKU, channel, and country and turn forecasts into purchasing decisions.
Sales, stock, campaigns, product lifecycle, and seasonal patterns are brought together.
VOIDS connects to your existing commerce stack, maps the operating rules that shape purchasing, and supports the team through go-live.
Good demand forecasting software does more than predict sales. It makes forecasts operational: which quantity should be reordered, which product is a revenue risk, and which campaign changes demand? For e-commerce brands, forecasting becomes valuable when purchasing and marketing work from the same demand plan.
“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.”
Sales, stock, campaigns, product lifecycle, and seasonal patterns are brought together.
VOIDS detects distortions from stockouts, promotions, and outliers and makes forecasts explainable.
Forecasts become purchase recommendations, priorities, and cash-flow impact for purchasing teams.
If forecasts are copied, adjusted, and corrected by gut feel every week, there is no shared planning logic.
VOIDS includes launches, marketing peaks, and historical stockouts so forecasts are not just extrapolated history.
The system delivers not only forecasts but concrete reorder priorities and PO decisions.
Forecasting alone does not solve purchasing. VOIDS connects forecasts with inventory decisions.
| Criterion | VOIDS | Typical alternative |
|---|---|---|
| Forecast level | SKU, channel, country, campaign, and product lifecycle. | Often topline sales or monthly planning only. |
| Execution | Order recommendations, PO context, and reorder priorities. | Forecast exports that still require manual processing. |
| E-commerce fit | Built for DTC, Shopify, launches, bundles, and performance marketing. | Often generic supply-chain or finance logic. |
| Explainability | Stockout correction, promotion effects, and outliers are visible in the forecast. | Black-box predictions purchasing teams do not trust. |
| Implementation | Live in days, with a guided go-live and weekly check-ins. | Planning suites often require months-long implementation projects. |
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.