Connect in minutes. Forecast in an afternoon. ROI in 30 days.
A guided tour of how your data flows in, how we forecast every SKU, and how POs and transfers get drafted automatically.
Five steps. One running system.
Connect your stack
Shopify, Amazon, WooCommerce, your 3PL, your ad platforms. Read-only OAuth where possible. Most brands are connected in 10 minutes.
- OAuth for e-com + ads
- API for 3PLs
- CSV fallback for legacy ERPs
We learn your business
The model ingests 18+ months of history and decomposes baseline, seasonality, promo lift, and paid-media elasticity — unique to your brand.
- Per-SKU seasonality
- Promo calendar ingestion
- Ad-spend elasticity
Forecast goes live
Weekly forecasts with confidence bands, 12 weeks out, per SKU and per warehouse. Dashboards light up immediately.
- 12-week horizon
- Per-warehouse splits
- Confidence intervals
Review auto-drafted POs
Respect MOQ, pack sizes, lead times and cash runway. Edit in the UI or via Slack. Approve to send.
- MOQ + pack math
- Cash-runway check
- Slack approvals
Daily re-forecast
We watch actuals against plan nightly. Alerts fire when you're drifting — before it hurts.
- Nightly retrain
- Anomaly alerts
- Variance reports
What your first 30 days look like.
- 1Day 0Kickoff call + scoping
- 2Day 1E-com + ads connections live
- 3Day 33PL + supplier data onboarded
- 4Day 7First validated forecast
- 5Day 14First PO sent from RestockIQ
- 6Day 30Full team trained + reporting live
An ensemble model that shows its work.
RestockIQ blends gradient-boosted trees (XGBoost) for short-horizon volatility with state-space models for seasonality, plus a sparse regression layer for promo/ads elasticity. You see baseline, seasonality and lift separated on every SKU.
- Gradient-boosted trees for short-horizon demand
- State-space models for long-horizon seasonality
- Bayesian elasticity layer for promos & ads
- Explainability attached to every prediction
Who uses RestockIQ.
Day-to-day forecast, POs, transfers.
Working capital, landed cost, scenarios.
Pre-campaign inventory pressure tests.
Weekly health snapshot, no spreadsheet required.
Your data in, your decisions out.
- Sales (channel-level)
- Inventory + lead times
- Ad spend + promos
- Supplier terms + MOQ
- Seasonality decomposition
- Elasticity modeling
- Allocation optimization
- Runway-safe math
- Forecasts + bands
- PO drafts
- Allocation plans
- Scenario results
“Onboarding felt embarrassingly fast. We were approving POs out of RestockIQ in week two. The team asked me where this was hiding.”
Inside a real RestockIQ rollout.
Implementation, answered.
A suite of AI products for the way modern brands operate.
We build vertical AI for ecommerce teams — from demand forecasting to allocation and supplier intelligence. Opinionated UX, explainable models, and integrations that actually work on day one.
Ready for a real walkthrough?
30 minutes on your data. Forecast + PO plan you can keep either way.