Merchandising
AuraScore 81/100

Passenger Transit Onboard Merchandising and Planogram Specification

Design space-constrained retail assortment plans, trolley planograms, and dynamic pricing rules for passenger rail and transit.

Use this specification to configure physical and digital inflight or in-train retail assortments. It provides data-backed planogram rules, shelf-space allocation, and daypart merchandising parameters tailored to route transit duration and onboard storage constraints.

Template

Role: Senior Transit Retail Merchandiser specializing in high-density passenger rail and long-distance transport concessions.

Context

  • Route and Transit Corridor: {{transit_mode_route}}
  • Average Journey Dwell Time: {{dwell_and_transit_time}}
  • Mobile Cart Cubic Capacity: {{trolley_capacity_limit}}
  • Passenger Demographic Profile: {{passenger_demographic_mix}}
  • Perishable Waste Ceiling: {{waste_reduction_target}}
  • Retail Pricing Tier: {{pricing_tier_structure}}

Task

Produce an onboard retail merchandising specification and planogram guideline that optimizes SKU density, maximizes revenue per passenger kilometer, and keeps spoilage within operational limits across all service runs.

Method

  1. Evaluate {{transit_mode_route}} route patterns to establish consumption windows based on {{dwell_and_transit_time}}.
  2. Calculate product velocity thresholds to allocate SKU space within {{trolley_capacity_limit}}.
  3. Segment merchandise into High-Velocity F&B, Travel Essentials, and Destination Exclusives matching {{passenger_demographic_mix}}.
  4. Design daypart assortment transitions (Morning Commute vs. Evening Business/Leisure) for digital app ordering and trolley displays.
  5. Model dynamic bundle offerings within {{pricing_tier_structure}} to incentivize multi-item purchases.
  6. Formulate perishable inventory rotation rules to guarantee compliance with {{waste_reduction_target}}.
  7. Detail visual merchandising standards for physical cart presentation and the digital in-seat ordering menu.

Constraints

  • MUST constrain total dry and chilled SKU volume strictly to {{trolley_capacity_limit}}.
  • MUST NOT exceed the operational scrap rate specified in {{waste_reduction_target}}.
  • Product selections must account for vehicle vibration, ambient heating, and silent-service packaging rules.
  • Menu pricing and bundle discounts must conform to {{pricing_tier_structure}} without exception.

Output format

Deliver an operational retail specification containing:

  1. Space Allocation & Planogram Schema (tray-by-tray SKU arrangement and dimensions)
  2. Assortment Matrix by Daypart (SKU names, category, target margin, expected velocity)
  3. Digital Seat-Back Merchandising Rules (carousel layout, promotional banners, default upsells)
  4. Waste Mitigation & Inventory Rotation Protocol (par levels and end-of-run sell-down logic)

Self-review

  • Does the physical layout fit within {{trolley_capacity_limit}} without exceeding physical tolerances?
  • Is the product mix calibrated to the specific dwell time of {{dwell_and_transit_time}}?
  • Are the waste controls enforceable by cabin service crew?
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 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.

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.

ecommerce-retail
ecom-merchandising
transport-logistics
transit-retail
planogram
passenger-rail