Airport Gaming Lounges

Context

This client operates a chain of gaming lounges in airports and wanted to streamline the process of applying targeted coupons and perks based on real passenger activity.

Approach

Applied AI for Real-World Problem:

• Scoped an MVP for automating boarding pass interpretation using OpenAI’s natural language and vision models.
• Collaborated with company team to map the end-to-end reward workflow and identify security and regulatory constraints.

Integration Strategy:

• Designed MVP to scan and read with OpenAI API for real-time boarding pass parsing, validation, and account setup.
• Defined logic for eligibility checks and coupon application based on extracted boarding pass data.

Iterative Experimentation:

• Ran controlled pilots to benchmark accuracy, speed, and user acceptance against manual methods.
• Incorporated feedback from stakeholders to refine the model and UI/UX.

Execution

• Led integration of OpenAI API for text and structured data extraction from boarding pass images (PDF and JPEG).
• Built middleware to process outputs, check eligibility, and trigger targeted coupon assignments in customer accounts.
• Implemented robust error handling and fallback manual review for edge cases.
• Coordinated with compliance/security to ensure full GDPR and aviation industry alignment.

Tools & Frameworks Used

• OpenAI API (Vision, NLP)
• Python/Node.js (integration & backend processing)
• REST API, secure middleware
• Google Cloud (deployment & logging)

Capabilities Demonstrated

• Primary: Artificial Intelligence (AI)
• Secondary: NPD, Optimization, Product Design

Key Learnings

• Real-world AI productization depends on clear scoping, stakeholder buy-in, and iterative model refinement.
• User feedback and exception handling are as critical as raw model accuracy for operational AI adoption.
• Security and compliance must be integrated from day one—especially in regulated environments like airports.