ReloPortal Redesign
Phase 1: Scope and Research
ReloPortal Redesign
Phase 1: Scope and Research
ReloPortal Redesign
Phase 1: Scope and Research
Home Depot | Pricing & Merchandising Decision Case Study
Designing enterprise pricing decision systems that translate complex merchandising logic into operational tools
used by retail pricing and merchandising teams.
Enabling merchandising teams to interpret pricing dynamics with greater confidence across internal retail systems.
The Home Depot | Principal Product Designer | Enterprise Retail, Pricing & Merchandising |
Platforms: Web, Internal Enterprise Tools
Overview
The Home Depot pricing and merchandising teams manage thousands of products across regions, promotions, and competitive pressures.
Pricing decisions require navigating complex data dependencies, operational rules, and cross-team coordination at enterprise scale.
This platform translated pricing complexity into clear decision workflows, enabling teams to evaluate pricing scenarios, understand tradeoffs,
and act with greater confidence.
Role & Leadership
Led the design of enterprise pricing decision tools used by merchandising and pricing teams to analyze, model,
and deploy pricing strategy across retail operations. Partnered with product managers, engineering, analytics,
and pricing strategy stakeholders to translate complex pricing rules, financial dependencies, and operational constraints into structured decision workflows. Defined the interaction frameworks, system models, and visual decision tools that allowed teams to evaluate pricing scenarios, coordinate decisions across functions, and operationalize pricing changes across thousands of products and markets.
The Challenge
Merchandising teams needed clearer visibility into pricing dynamics across multiple product categories.
Existing tools lacked decision support workflows that connected pricing strategy to operational execution.The opportunity was to
design decision support workflows that surfaced actionable insights while maintaining clarity across complex retail environments.
Strategy
The strategy focused on translating pricing logic into structured decision pathways that aligned with merchandising workflows.
Interaction models were designed to support interpretation of pricing signals while reducing cognitive load and preserving transparency.
Key Decision Frameworks & System Models
These frameworks provided a consistent structure for evaluating pricing decisions across merchandising teams.
This artifact shows how I set shared language and scope early, aligning stakeholders around outcomes,
constraints, and the role AI should play before any screen-level design began.
This canvas framed the effort in a way cross-functional partners could rally around.
It clarified what “price recommendation” and “optimization” meant in human terms, identified who the work served,
and established what must remain explicit due to enterprise constraints (pricing risk, volatility, and accountability).
Value Hierarchy - Pricing
Structured pricing pathways supported scenario-based evaluation
and improved coordination across merchandising functions.
The value hierarchy connected business intent to experience criteria. It mapped enterprise goals, margin growth,
competitive positioning, and operational efficiency to the experience qualities users needed in order to act with confidence, validity, tradeoffs, visibility, and accountability.
Pricing Decision Intelligence Model
Insights were surfaced through consolidated summaries that supported strategic pricing reviews.
This board articulated the UX guardrails that merchants must lead in the workflow, signal clarity, transparency into rationale, confidence through proposed outcomes, visibility into who approved what and why, recommendation,
and a shared reference for evaluating future capabilities against the same decision model.
Five Pillars
Process flows translated pricing inputs into interpretable decision pathways.
This section outlined the five guardrails merchants need to make confident pricing decisions. Tooling that merchants must lead in the workflow, signal clarity, transparency into rationale, confidence through proposed outcomes, visibility into who approved what and why, and a shared reference for evaluating future capabilities against the same decision model.
Visual Strategy Mapping
Visual mapping connected pricing intelligence to merchandising decision journeys.
Grounding AI behavior in clear workflows, the visual strategy map aligned high-specificity pricing decisions,
surfaced actionable and auditable insights, and connected merchant intent to system recommendation
through guided, transparent pathways.
Impact & Outcomes
The platform improved pricing transparency and decision confidence across merchandising teams
while reducing operational risk. Merchants were better equipped to interpret pricing dynamics and align execution
with strategic intent. Teams were better equipped to interpret pricing dynamics and align execution with strategic intent.
The work enabled clearer alignment between pricing strategy and day-to-day pricing decisions.