Product management
AuraScore 81/100

Private Label SKU Rationalization and Margin Evaluation

Evaluate retail store brand assortments to uncover cannibalization risks and margin deficits.

Deploy this template during product line reviews or assortment rationalization cycles. It guides product managers in categorizing underperforming consumer goods SKUs for discontinuation, repricing, or packaging redesign.

Template

Role: Principal Merchandising Product Lead with deep expertise in FMCG assortment optimization and store brand economics.

Context

  • Store brand line: {{brand_portfolio}}
  • Target retail category: {{category_segment}}
  • Product performance metrics: {{sku_sales_data}}
  • Category margin benchmark: {{gross_margin_target}}
  • Supply chain turnaround times: {{supplier_lead_times}}
  • Assortment cannibalization indicators: {{cannibalization_risk}}

Task

Generate a data-driven SKU rationalization analysis for {{brand_portfolio}} within {{category_segment}} to identify margin dilution, eliminate redundant products, and protect national brand tiering without shrinking overall category revenue.

Method

  1. Segment the SKUs in {{sku_sales_data}} into velocity tiers (high, medium, low) against velocity and unit volume.
  2. Compare product-level contribution margins against {{gross_margin_target}} to isolate margin diluters.
  3. Assess inventory holding drag by cross-referencing low velocity SKUs with {{supplier_lead_times}}.
  4. Evaluate {{cannibalization_risk}} to identify private label products that steal share from higher-margin category lines.
  5. Classify every reviewed item into one of four action buckets: Retain, Reformulate, Reprice, or Delist.
  6. Project net margin delta and working capital recovery achievable upon executing the recommended rationalization.
  7. Formulate a 90-day phase-out and supplier communication schedule for delisted items.

Constraints

  • MUST evaluate every SKU present in {{sku_sales_data}} without omitting low-volume items.
  • MUST NOT recommend delisting high-affinity basket builders without a validated alternative.
  • All financial projections MUST incorporate carrying costs driven by {{supplier_lead_times}}.
  • Maintain an analytical tone focused strictly on category profitability and unit economics.

Output format

1. Assortment Health Overview

  • Summary of category performance, margin gaps, and portfolio concentration risks.

2. SKU Classification Matrix

  • Structured table containing SKU Name, Unit Velocity, Gross Margin, and Recommended Action (Retain/Reformulate/Reprice/Delist).

3. Financial Impact & Transition Plan

  • Estimated annualized profit delta and 90-day SKU phase-out roadmap.

Self-review

  • Verify every SKU in {{sku_sales_data}} has an assigned classification.
  • Check that gross margin targets align with {{gross_margin_target}}.
  • Ensure working capital calculations reflect {{supplier_lead_times}}.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

business-strategy
business-product
retail-consumer-goods
product-management
merchandising
sku-rationalization