Forecasting
Signal Weave Forecast Studio
Scenario modeling for demand, FX, and staffing with explicit confidence bands instead of single-point guesses.
Investment band
KRW 2,400,000
Indicative fee; final pricing appears in your statement of work.
Discuss scopeEngagement narrative
We translate messy operational drivers into structured assumptions, run disciplined scenario reviews, and publish a narrative layer so leadership understands what changed week over week.
Included focus areas
- • Driver dictionary with Korean + English labels
- • Monte Carlo-lite bands for high-volatility SKUs
- • Versioned assumption log with approver stamps
- • Bridge charts tying shipments to revenue recognition
- • Integration notes for SAP, Oracle, or local ERP exports
- • Facilitation guide for Tuesday forecast forums
- • Sensitivity toggles for energy and freight shocks
Outcomes we document
- • Documented bridge between ops telemetry and finance outlook
- • Rolling 13-week forecast with transparent overrides
- • Playbook for when actuals diverge >8% from baseline
Sora Cheon
Forecasting lead who supported consumer electronics launches across APAC distribution hubs.
FAQ
Will you code custom models?
We prefer transparent spreadsheet or notebook layers your team can inspect; deep ML is out of scope unless separately scoped.
How do you handle seasonality?
We document historical spikes—Lunar New Year, summer peaks—and encode them as explicit levers, not hidden defaults.
Limitations?
We cannot guarantee market outcomes; we guarantee methodological clarity and documented assumptions.
Experience notes
“The assumption log stopped the 'who moved the number?' debates every Thursday.”
Eun · Revenue operations · Industrial components OEM · Google
“Bands felt conservative at first, but leadership now quotes the same range in board prep.”
Theo · Regional distributor
“Client in regulated manufacturing — we finally tied promo spend to shipment timing without hand-built pivot tables.”
Anonymous