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Intelligence · Forecasting

Forecasts that feed loops, not decks.

Forecasting combines demand history and channel signals into scenario plans that directly update safety stock and reorder logic. Committed scenarios become operational instructions, not static reports.

BaseUpsideDownside

Scenario-based

Base, upside, and downside scenarios side by side

Loop-connected

Committed scenario updates safety stock thresholds directly

Signal-fed

Channel demand signals adjust forecast posture in real time

Scenario planning without spreadsheet drift

Base, upside, and downside paths are versioned and compared in one workspace. Once a scenario is committed, threshold controls update in-line so planning decisions propagate immediately to operations.

  • - Scenario variants by SKU and planning horizon
  • - Versioning with draft and committed state
  • - Side-by-side variance comparison
  • - Commit action pushes threshold updates in real time
MetricBaseUpsideDownside
Horizon12w12w12w
Peak week demand1,8402,1201,460
Safety stock420560300
Reorder point1,6801,9201,240

Forecast quality · LMB-BRS-001

Forecast accuracy

91.3%

Bias

-2.1%

MAD

43

Demand signal adjusted forecast +12% on Mar 4 · Shopify

Statistical baseline, signal adjusted

Baseline projections use trend and seasonality, then real-time demand signals adjust scenario posture. Manual overrides remain explicit and versioned to keep decision paths transparent.

  • - Statistical baseline with trend and seasonality decomposition
  • - Real-time signal adjustment from channel demand events
  • - Manual override layer tracked separately from baseline
  • - Forecast bias and accuracy tracked per period

Forecast to threshold in one step

Committing a scenario recalculates safety stock and reorder levels instantly. Replenishment reads updated controls on the next inventory check, so planning decisions translate into operations immediately.

  • - Safety stock recalculated from demand variability
  • - Reorder points updated across affected locations
  • - Replenishment engine consumes updated thresholds immediately
  • - Threshold changes logged against scenario reference

Scenario committed

Before

Safety stock: 300

Reorder point: 1,200

After

Safety stock: 420

Reorder point: 1,680

Bond Repair Serum · DC-East · 2 SKUs updated

Built for planners

Forecasting is the Decide pillar where demand intelligence becomes operational instruction. A committed scenario is a live threshold update, not a disconnected planning artifact.

API and integration

  • REST API - scenario CRUD, baseline retrieval, and threshold update endpoints
  • Forecast scenario services for custom planning workflows
  • Loop integration writes threshold configs consumed by replenishment
View API reference →

Related modules

Demand Signals
Channel signals feed adjusted forecast posture.
Replenishment
Committed scenarios update safety stock controls.
Analytics
Forecast accuracy and bias tracked over time.
Data Pipeline
Historical demand imports seed baseline scenarios.

A forecast that changes your supply plan

Book a 30-minute demo. We will run base, upside, and downside scenarios on your SKUs.

Book a demo