Enterprise · B2B platform · UX + UI

Apollo: sales forecasting for UGG and HOKA

Deckers' sales reps forecast thousands of SKUs across brands, channels, regions, and seasonal rounds. Apollo turns that spreadsheet sprawl into one platform: create a season, assign items to reps, track forecast rounds, and roll everything up in real time.

RoleProduct Designer
ClientDeckers Brands (UGG, HOKA, Koolaburra)
PlatformResponsive web + tablet
Apollo dashboard on a tablet beside the Deckers and HOKA logos

The dashboard is the deadline

A rep's home screen answers three questions at a glance: which round is active, which accounts are still outstanding, and how booked compares to forecast. Notifications surface exactly the events that cost money when missed: overdue rounds, resubmitted forecasts, bookings exceeding forecast.

Assignments without the spreadsheet

Managers see their reps' books as collapsible rosters: four reps, their brands, their item counts. Expanding a rep reveals the full item table; a filter rail narrows by account, division, or class. Bulk actions handle the reality of territory changes: select eleven items, move them to another rep or a new forecast bucket in one modal.

Assignments screen listing four sales reps with item counts
The roster view: reps, brands, item counts, one action to create a forecast bucket.
Assignments expanded with an item table and account filter rail
Expanded: the item table with the filter rail for narrowing by account.
Move 11 items modal with lookup and new forecast bucket action
Bulk move. The empty state offers the fix, creating a new forecast bucket, right in the modal.

Season setup that names itself

Creating a season is a structured form (brand, channel, region, season, year), and the season name assembles itself from those choices, so naming stays consistent across the org. Forecasting rounds are added inline with due and close dates, no separate admin screen.

Create Season screen shown empty and filled in
Empty and filled states. The auto-assembled season name removes a whole category of data-entry inconsistency.

Outcomes

Placeholder: metrics to be added.