This channel has its own login, separate from every other tab.
Multi-channel
Every channel. One true demand number.
Foresight unifies Zouk's D2C and marketplace data into one forecasting engine β
the same Base Qty, Seasonality and Net Revenue math, every channel, always traceable back to BigQuery.
Choose a channel to sign in
Category level forecast
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Bulk apply
Choose what to change, then Apply. Every apply can be undone.
Categories
Months
π The Outlook β where we've been (Jan onward) and where Foresight expects us to go
Actual history (solid) from January through the month before "As of month," followed by the
forecast horizon (dashed) β same live numbers as the table below. Editing ASC%/Offer% on a
category updates its dashed forecast segment here immediately (a collection's forecast is the
live sum of its categories); the solid historical segment never changes, since it's real
recorded data, not a projection.
Set a Category Spike % for any month here and it's applied to every SKU in that category for
that month β overwriting each SKU's own Category Spike % (their Seasonality % overrides, if
any, are left untouched). Net Revenue and Final Qty update instantly as you type. Editing a
SKU's own value afterward on the SKU level tab overrides this again for that SKU alone.
Category
Every number in the table is derived from live BigQuery data. This panel shows the exact
inputs behind Base Qty and Seasonality % for the current "As of month", and lets you
download the full trail to verify independently.
True Loss Factor (TLF) estimates demand lost to stock-outs and how much
of it customers recovered by buying a sibling SKU in the same category instead. The result,
True Demand, is a more complete estimate of underlying demand than raw sales.
This tab computes a TLF-based Base Qty (simple 3-month average of True Demand) and compares
it against the app's existing Base Qty.
Important difference: the existing Base Qty (Category level tab) includes each category's
combo-credited demand (its share of every combo containing its SKUs). The TLF-based Base Qty
here uses each SKU's own direct sales only β the substitution model is about swapping to a
sibling SKU, a separate mechanic from combo bundling. So a lower TLF number does not mean
"less true demand" β part of the gap is simply combo credit this view doesn't include.