Which SKUs are genuinely redundant?
Separate low-volume items that add little incremental value from products that serve a distinct customer or occasion.
SKU Rationalization · Retail & CPG
Identify which SKUs are genuinely redundant, which demand will transfer after delisting, and where simplification improves margin, inventory or operational efficiency.
Questions this decision model answers
Separate low-volume items that add little incremental value from products that serve a distinct customer or occasion.
Estimate substitution into other SKUs versus demand that disappears or shifts outside the portfolio.
Combine sales, contribution, inventory and operating complexity rather than optimizing volume alone.
Respect strategic brands, pack coverage, customer commitments, minimum range and other commercial rules.
From data to decision
A rationalization decision is strongest when it models both the SKU being removed and the demand that moves afterward.
Use transaction or sell-out history, product hierarchy, margin, stock, channel, location and relevant product attributes.
Model which products absorb demand when a SKU is removed and where demand may be lost.
Apply minimum coverage, strategic products, customer commitments and operational constraints.
Return candidate rationalization moves with expected portfolio impact and the logic behind each recommendation.
Decision boundary
A small SKU may protect a price point, pack size, customer segment or occasion. Conversely, a larger SKU may mostly cannibalise another product. Rationalization should estimate incremental portfolio value, not rank products by sales alone.
Estimate demand that is genuinely lost if the SKU leaves.
Estimate substitution into retained products.
Compare margin, inventory, service and complexity consequences.
Related decision problems
Direct answers
SKU rationalization focuses on simplifying or reshaping an existing portfolio. Assortment optimisation is broader and can decide which products to carry by store, channel, customer or market.
Because volume alone does not tell you whether demand will transfer, whether the SKU serves a unique need, or whether removing it hurts margin or category coverage.
Yes, where transaction or sell-out data contains enough variation to estimate substitution patterns credibly.
Yes. Strategic products, minimum category coverage, pack requirements, customer agreements and other constraints can be encoded explicitly.
We will structure the model around the action your team needs to take and the evidence required to support it.