01
Read the graph
Transactions, stock moves, price changes, promo history, seasonality, calendar — all pulled from the retail data graph with full context per store.
Kwanta Forecasting
Know what will sell, store by store, week by week.
A demand forecast for every SKU in every store, every day — adjusted for drops, seasons, markdowns, and promo lift. One number your whole team works from. Not five disagreeing spreadsheets.
- Hierarchical: category → SKU → store × day
- New-SKU cold start with analogs + size-curves
- Auto-reforecast on promo, stock-out, price change
Early access
Kwanta Forecasting is opening for early access with multi-store fashion and specialty retailers. Join the waitlist to get first access and help shape the defaults.
How it works
Forecasting is the primitive underneath replenishment, promo, assortment, and pricing — one graph, one signal, every workflow.
02
Forecast hierarchically
Category → SKU → store × day. Sensible pooling for sparse SKUs. Cold-start for new launches via analogs and size-curves.
03
Re-forecast on change
When a promo launches, a stock-out hits, or a price moves — the forecast updates automatically. Every downstream workflow picks up the new number.
04
Audit the forecast
Every forecast is explainable — the drivers, the confidence band, the analogs used for cold-start. Your team can override with a written reason.
What it covers
Hierarchical grain
Category, SKU, store, day. Reconciled top-down and bottom-up so the numbers never contradict each other.
New-SKU cold start
Analogs from similar SKUs, size-curve estimation, life-cycle stage classification — so new launches have a forecast from day one.
Promo + markdown lift
Historical lift by promo mechanic and depth, applied forward. The forecast moves when the calendar moves.
Seasonality + calendar
Weekly, monthly, annual seasonality. Holiday calendars per market. Drops and collections as first-class events.
Confidence bands
Every forecast comes with a confidence interval. Downstream agents read the band, not just the point estimate.
Explainability
For every forecast: what drove it, what analogs were used, what changed since last run. No black box.
Runs on
Forecasting sits inside the Kwanta retail graph — no separate data pipeline to maintain.
- Kwanta POS
- Legacy POS exports
- 1C
- Shopify
- Marketplace feeds
- Your warehouse (export)
Start with Kwanta
Join early access for Kwanta Forecasting.
Talk to the founders. Get early access, honest pricing, and a direct line to the team.