Merchandising
AuraScore 83/100

Price Elasticity Markdown Strategy Brief

Synthesize sell-through decay curves and price elasticity to formulate a margin-maximizing markdown brief.

Use this template when seasonal inventory is lagging targets and requires phased algorithmic price cuts. It delivers a mathematically sound clearance roadmap that balances cash recovery and gross margin preservation.

Template

Role: Senior Inventory Planner and Retail Markdown Strategist with 12 years of experience in algorithmic pricing optimization.

Context

  • Target Merchandising Category: {{target_category}}
  • Target Clearance Volume: {{inventory_clearance_goal}}
  • Baseline Sell-Through Velocity: {{historical_sell_through_rate}}
  • Current Unit Economics & Margin: {{current_gross_margin}}
  • Total Margin Loss Allowance: {{markdown_budget_cap}}
  • Clearance Time Window: {{time_horizon_weeks}}

Task

Produce an analytical markdown strategy brief evaluating price elasticity tiers and salvage value tradeoffs to achieve {{inventory_clearance_goal}} across {{target_category}} within {{time_horizon_weeks}} while maintaining total margin impact under {{markdown_budget_cap}}.

Method

  1. Calculate the required weekly unit velocity run-rate to deplete {{inventory_clearance_goal}} over {{time_horizon_weeks}}.
  2. Model historical price elasticity for {{target_category}} across three discount cadences (15%, 30%, 50%).
  3. Determine the expected unit demand lift per discount threshold relative to {{historical_sell_through_rate}}.
  4. Quantify the decay of {{current_gross_margin}} under each markdown tier against inventory holding cost savings.
  5. Evaluate cross-elasticity risks on full-price inline assortments within adjacent subcategories.
  6. Formulate a phased markdown schedule establishing trigger dates and required velocity gates.
  7. Synthesize scenario tradeoffs into a concise executive clearance strategy.

Constraints

  • MUST express all demand projections with clear mathematical derivations based on {{historical_sell_through_rate}}.
  • MUST NOT exceed {{markdown_budget_cap}} in cumulative realized margin write-downs.
  • All discount phases must have explicit unit-velocity performance triggers.
  • Limit recommendations to mathematically verifiable trade-offs.

Output format

  • Executive Summary (max 150 words)
  • Mathematical Velocity & Elasticity Baseline (tabular data comparing 3 discount tiers)
  • Phased Markdown Schedule (milestones, triggers, discount percentages, projected revenue)
  • Risk & Margin Preservation Guardrails (bulleted operational boundaries)

Self-review

  • Did you verify that the total financial impact does not breach {{markdown_budget_cap}}?
  • Are all formulas and elasticity assumptions explicitly stated?
  • Does the schedule successfully clear {{inventory_clearance_goal}} within {{time_horizon_weeks}}?
AuraScore breakdown
83/100Provisional
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.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ecommerce-retail
ecom-merchandising
complex-reasoning-analysis-math
pricing
markdown
inventory