Fashion Intelligence Series | Module 5 of 6

Collection planning:
Fewer SKUs, more margin

How a cannibalism network identifies the 400 SKUs out of 1,800 as candidates for the assortment review - with only 3% revenue loss, but 28% less overstock and €4.1M margin improvement.

01 The problem - planning 1,800 SKUs when 400 are unnecessary

Why a wide assortment does not automatically mean more revenue

More SKUs = more choice = more revenue? Our analysis shows: 22% of SKUs generate 78% of revenue. The remaining 78% cannibalise one another, tie up warehouse capacity and generate overstock. The model identifies which SKUs your assortment needs - and which are candidates for review in the next assortment round.

02 Model - assortment optimisation with a cannibalisation network

-22%
SKUs in assortment
-3%
Revenue impact
-28%
Overstock
€4,1M
Margin improvement
SKU contribution: revenue share vs. overstock share
↳ 400 fewer SKUs, nearly identical revenue

The model identifies 400 SKUs as removal candidates — together they generate only 3% of revenue but cause 18% of overstock. If approved in the assortment round, the overstock rate drops by 28% - at only 3% revenue decline. The saved production costs and markdowns outweigh the revenue loss by a factor of 4. The model does not replace the assortment decision — it provides the data foundation for an informed discussion in the buying and design team. The final decision additionally considers brand positioning, supplier relationships and range width.

03 Next steps

① Assortment analysis

All 1,800 SKUs through the cannibalisation network. Report: top performers, cannibalisers, candidates for removal.

② Pilot: 1 collection

Next season: optimised assortment in 3 pilot markets vs. standard assortment. A/B at market level.

③ Design feedback

Data-driven recommendations for your design team: which silhouettes, colours and price points are missing from the assortment?