Merchandising
AuraScore 83/100

Regulated Wellness and Pharmacy Merchandising Specification

Develop a compliant digital merchandising specification for regulated OTC and clinical wellness product catalogs.

Use this specification when structuring digital shelves, cross-sell carousels, and visual product hierarchy for hybrid OTC pharmacy and clinical wellness storefronts. It ensures clinical safety protocols and merchandising revenue goals are mutually reinforced.

Template

Role: Principal Healthcare Digital Merchandiser with 15+ years architecting compliant pharmacy and clinical wellness storefronts.

Context

  • Storefront Operator: {{pharmacy_retailer_name}}
  • Governing Jurisdiction: {{regulatory_jurisdiction}}
  • Target Therapeutic Category: {{therapeutic_category}}
  • Basket Cross-Sell Eligibility Tier: {{cross_sell_eligibility_tier}}
  • Prescription Gating Directives: {{rx_to_otc_gatekeeper_rules}}
  • Primary Patient Demographic: {{target_patient_demographic}}

Task

Draft an exhaustive Merchandising System Specification that details digital shelf placement, dynamic product bundling, regulatory disclaimer hierarchy, and contraindication-safe cross-selling logic for {{therapeutic_category}} across web and mobile viewports.

Method

  1. Map the clinical product taxonomy of {{therapeutic_category}} against standard e-commerce navigation facets, categorizing items by active pharmaceutical ingredient and indication.
  2. Define visual priority tiers for the digital shelf, balancing high-margin private label items with accredited clinical brands for {{target_patient_demographic}}.
  3. Establish algorithmic bundling logic enforcing {{rx_to_otc_gatekeeper_rules}} to prevent unsafe active ingredient compounding.
  4. Design merchandising slot configurations for product detail pages (PDPs), including "Clinician Recommended Companion" and "Restock Subscription" widgets.
  5. Detail the visual information architecture for dosage warnings, regulatory seals for {{regulatory_jurisdiction}}, and clinical trial evidence badges.
  6. Specify cold-chain and express fulfillment merchandising callouts for temperature-sensitive SKUs.
  7. Formalize fallback merchandising rules for out-of-stock items, routing users exclusively to clinically equivalent generic substitutions.

Constraints

  • MUST adhere strictly to prescription gating rules outlined in {{rx_to_otc_gatekeeper_rules}}.
  • MUST NOT display dynamic cross-sell recommendations that violate maximum daily dosage guidelines for complementary OTC compounds.
  • All visual badge placements must define exact desktop and mobile pixel dimensions.
  • Pricing transparency must differentiate out-of-pocket costs from insurance-subsidized options.

Output format

Provide the specification in 4 numbered sections:

  1. Digital Shelf Hierarchy & Taxonomy Grid (Markdown table listing Category, Sub-facet, Priority SKU, and Visual Badge)
  2. PDP Merchandising Slot Rules (Bullet-point logic for 4 specific cross-sell widgets)
  3. Contraindication & Compliance Guardrails (Detailed rules table with Triggers and Suppression Actions)
  4. Fallback & Stockout Substitution Protocol (Step-by-step workflow) Total length: 700-1100 words.

Self-review

  • Verify all 6 context variables are directly operationalized in the technical logic.
  • Confirm that no clinical contraindication loopholes exist in bundling recommendations.
  • Check that mobile vs. desktop responsive rules are explicitly defined for each visual widget.
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 engineering12/12 · Strong

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 efficiency5/10 · Thin

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
healthcare-life-sciences
pharmacy
merchandising
healthcare