Forecasting
Forecasting Merchandise with Honest Bands
5 weeks · cohort
Build rolling forecasts with confidence bands that ops and finance can share without magical precision.
Forecasting course for operators tired of single-point projections. You will combine historical sales, media pulses, and inventory risk in a transparent model that states assumptions upfront.
Price (informational)
₩940,000
No checkout on this static preview.
Features
- Rolling 13-week forecast shell
- Scenario table for media shocks
- Inventory risk flags
- Assumption changelog template
- BigQuery SQL starter
- Live calibration workshop
- Office hours on model limitations
Outcomes
- Publish forecasts with visible confidence bands.
- Align ops on two risk scenarios each month.
- Retire one opaque spreadsheet that hid assumptions.
Elliot Nam
Data analyst supporting three scaling ecommerce brands in APAC.
FAQ
Is probabilistic modeling taught?
We stay with quantile-style bands you can explain to non-technical stakeholders.
What if we lack three years of history?
You will document sparsity explicitly and widen bands instead of faking precision.
Does this include demand sensing vendors?
No vendor pitches; we map evaluation criteria only.
Reviews
“Scenario table alone justified the tuition for our planning meetings.”
“Bands were uncomfortable at first, but finance prefers them now.”