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Assortment science

Cannibalization & affinity

Know which products steal from each other and which sell better together before you change the range.

Net

category impact before delisting

Data-led

bundle and adjacency design

Fewer

range changes that backfire

The problem

Range changes look great in isolation and disappoint at basket level. We quantify substitution and complementarity so assortment decisions hold up.

What you get

  • Affinity and substitution matrices
  • Range change simulator
  • Bundling recommendations

How we approach it

  1. 01

    Basket and transaction affinity mining at scale

  2. 02

    Substitution matrices from switching behaviour, not just co-occurrence

  3. 03

    Delist and launch simulation with net-category impact

  4. 04

    Planogram and bundle recommendations

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