The Resort Inventory Prediction Tool was designed as a proof-of-concept for resorts internal intelligence platform—an AI-powered system that helps agents predictively buy, transfer, and optimize resort room inventory across regional markets. The tool allows agents to make data-informed purchase decisions that balance availability, risk, and profit potential.
The build became a mix of:
A hybrid of predictive analytics, financial modeling, and UX visualization. The design blends operational tools (inventory search and transfer) with forecasting intelligence (AI-driven recommendations, ROI projections, and risk heatmaps). The experience bridges transactional UI with insight-driven dashboards—making data actionable for business teams.
Explore how AI recommendations can guide resort inventory reallocation in real time.
Visualize risk and profitability across portfolios using intuitive color and card-based patterns.
Simplify complex forecasting data into a clean, enterprise-ready experience that empowers faster decision-making.
Prototype a workflow that shows how resort sub-brands could buy, sell, or trade room inventory dynamically.
Bidirectional filtering mechanism for removing date range or region to redisplay search results
The risk classification system (High/Medium/Low) simplified decision fatigue while keeping transparency on ROI and sell-through rates.
The “Portfolio Overview” and “AI Recommendations” sections became valuable views for tracking large-scale inventory movement and profitability.
Introducing transaction history panels increases agent trust by surfacing completed trades and historical profits
Prediction Tool - Search Tool
Heatmap - Strong Inventory
Predictive AI Requests and Transaction Summary
Full View Strong Availability Picks for Value
Transfer Inventory Pop up
Transfer Inventory Popup - Select new destination
Inventory and Metrics Dashboard
Predictive intelligence is only useful when paired with clear financial context and actionable workflows.
Consistency in data hierarchy (ROI → Risk → Occupancy → Availability) helps users scan faster and compare opportunities.
AI-driven tools need human interpretable design — visual cues, plain language, and explainable insights are critical for adoption.
Predictive intelligence is only useful when paired with clear financial context and actionable workflows.
Consistency in data hierarchy (ROI → Risk → Occupancy → Availability) helps users scan faster and compare opportunities.
AI-driven tools need human interpretable design — visual cues, plain language, and explainable insights are critical for adoption.
Summary
The Resort Inventory Prediction Tool demonstrates how intelligent UX can transform static data into live, decision-ready insights. By merging predictive analytics with transparent UI systems, it enables hospitality teams to reallocate, price, and sell inventory more strategically — ultimately maximizing occupancy and profit potential across the enterprise.