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CatchFlow - Flight Price Monitoring

CatchFlow helps travel agents monitor flight price changes across multiple bookings.


It highlights only the most relevant savings opportunities.
Agents can act faster while staying in control of every booking decision.

The Problem

Travel agents manage many flight bookings while prices change constantly. Manual tracking takes time, creates stress, and makes it easy to miss savings opportunities.

The Challenge

The challenge was to help agents monitor price changes at scale while keeping full control over every booking decision. The goal was to automate monitoring without replacing human judgment.

Competitor Research

Competitor research showed a gap between complex enterprise tools and simple consumer flight platforms.
Enterprise tools are powerful but heavy, while consumer tools are easy to use but not built for professional agents.
This created an opportunity for a professional tool that feels simple, clear, and actionable.

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Research Process

To understand the travel-agent workflow,

I combined desk research, competitor analysis, and workflow mapping.

I reviewed consumer tools such as Google Flights, Hopper, KAYAK and Skyscanner, alongside professional platforms like Navan, Amadeus, Sabre, and ExpertFlyer.

This revealed a clear opportunity: simple consumer tools are not built for agents managing bookings at scale, while enterprise systems often feel complex, heavy

and difficult to act on quickly

Personas

Based on the research synthesis, three main user profiles emerged:

Dana (32)

Multi-Tasking Travel Agent

Dana manages many client bookings at once while switching between GDS systems, calls, emails, and price updates. Her work depends on speed, accuracy, and personal service.

Alex (48)

Operations Manager

Alex manages agency operations,

team performance, and business relationships while evaluating whether new technology can improve efficiency and profitability.

Yitzhak (62)

Risk-Averse Senior Agent

Yitzhak is a veteran travel agent with decades of industry experience. He trusts human expertise and is cautious about systems that make decisions without clear explanation.

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Pain Points

  • Too many alerts and emails create overload.

  • She fears missing important price drops.

  • Manual comparison wastes time.

Goal

  • Focus on urgent opportunities and act quickly with clear approval actions.

Pain Points

  • Agents do not have time to manually recheck every booking.

  • It is hard to prove savings to business clients.

  • Too much time is spent handling operational issues.

Goal

  • Track savings, improve efficiency, and generate client-facing reports.

Pain Points

  • Fear of the system purchasing the wrong ticket.

  • Lack of trust in black-box automation.

  • Concern about financial or booking mistakes.

Goal

  • Define strict safeguards and keep manual approval for important actions.

Key Research Insights

Too much information makes it harder to act.

Too much information makes it harder to act.

Agents need a way to show the savings they create.

Agents want automation, but still need final control

CatchFlow was designed to support

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Reducing noise

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Human decision-making

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Highlight only the
opportunities that matter

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Solution

CatchFlow continuously monitors flight prices, prioritizes meaningful opportunities, and keeps agents in control through approval-based workflows.

The product helps agents move from manual tracking to faster, clearer, and more confident decisions.

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Screen 1

Dashboard Overview

A central view for monitoring active routes, savings opportunities, and pending approvals.

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Screen 2

Preferences & Safeguards

Agents can define booking rules such as baggage, cancellation policy, and approval requirements.

Screen 3

Human Approval

The system highlights a relevant price opportunity and lets the agent approve the final booking action.

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Screen 4

Savings report

A clear report that helps agents show clients how much value they created.

Expected KPIs

• 40–60% reduction in manual monitoring time
• Faster response to high-value opportunities
• Higher opportunity capture rate
• Fewer irrelevant alerts reviewed by agents
• Increased visibility of monthly savings
• Improved agent confidence through approval-based workflows

What I’ve learned

CatchFlow taught me that automation should support human decision-making, not replace it.
Travel agents did not need more data - they needed clarity, prioritization, and control. The main design challenge was building trust: helping users act faster while still feeling responsible for every booking decision.

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